9 Database Architect jobs in Singapore

Role Overview :

As a Senior Database Consultant (Architect level), you will be responsible for the full lifecycle management of database systems, ensuring optimal performance, security, and reliability across both production and non-production environments. You will play a key role in supporting data-driven initiatives, maintaining data integrity, and enabling strategic decision-making through effective data management.

Key Responsibilities :

· Install, configure, upgrade, and maintain database servers and instances.

· Monitor database performance and ensure high availability and reliability.

· Diagnose and resolve database-related issues and errors.

· Manage database access controls, standards, and data integrity.

· Design database architecture, develop SQL, Database Architecture, test, and tune performance.

· Handle service requests including data queries, cloning, data scrambling, deployments, and configuration extraction.

· Ensure seamless integration and connectivity between databases and application systems.

· Implement and uphold data security measures and best practices.

· Support the development and documentation of data management and analytics policies.

· Assist in identifying, consolidating, and modeling TP’s data assets.

· Contribute to the development of data products for operational efficiency and strategic planning.

· Provide consultancy to end users on data security and management.

· Maintain metadata dictionaries for ICT systems.

· Stay updated with the latest database technologies, tools, and industry’s best practices.

Requirements :

· Degree in Engineering, Science, Information Technology, Computer Science or a related field.

· Minimum 8 years of hands-on experience with Database Architecture, RDBMS, including MSSQL and Oracle in production environments.

· Proven experience in database troubleshooting, backup, restoration, and recovery.

· Experience with cloud databases (IaaS/PaaS) like AWS and Azure.

· Cloud database certifications like Azure Database Administrator Associate, AWS Certified Database – Specialty, or equivalent are a plus.

As the Data Warehousing Product Specialist in the Field Engineering team, you will be defining and driving our technical go to market strategy in the Asia Pacific and Japan region.
You will be directly working with customers to guide and influence their data warehousing architecture and decisions. You will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.
You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with the Product Manager(s) to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.
You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback.
You have expertise in cloud-based data warehousing technologies, modern data platform architectures, traditional data warehousing techniques and preferably industry domain knowledge. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.
The impact you will have:
Lead the vision and strategy for Data Warehousing Adoption in Asia Pacific and Japan
Develop materials for our GTM team to effectively communicate our value proposition
Support our field teams in key strategic pursuit opportunities
Lead a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market
Act as the thought leader to build confidence and relationships with our customers at the executive level
Present externally at conferences, events and webinars and publish content to establish our position in the market
Work with post sales and partners to establish migration best practices
Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion
What we look for:
10+ years of experience in data warehousing and familiar with modern lakehouse architectures
Deep technical knowledge of the Data Warehousing Product, e.g. Snowflake, BigQuery, etc.
Trusted advisor to technical executives that inform strategic data decisions
Proven track record of successful pre-sales experience in competitive situations
Ability to define and executive strategic program cross functionally
High impact communication internally and externally
About Databricks
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Field Engineering, Data Warehousing Product Specialist
FEQ426R280
As the Data Warehousing Product Specialist in the Field Engineering team, you will be defining and driving our technical go to market strategy in the Asia Pacific and Japan region. You will be directly working with customers to guide and influence their data warehousing architecture and decisions. You will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems. You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with the Product Manager(s) to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact. You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback. You have expertise in cloud-based data warehousing technologies, modern data platform architectures, traditional data warehousing techniques and preferably industry domain knowledge. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.
The Impact You Will Have
Lead the vision and strategy for Data Warehousing Adoption in Asia Pacific and Japan
Develop materials for our GTM team to effectively communicate our value proposition
Support our field teams in key strategic pursuit opportunities
Lead a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market
Act as the thought leader to build confidence and relationships with our customers at the executive level
Present externally at conferences, events and webinars and publish content to establish our position in the market
Work with post sales and partners to establish migration best practices
Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion
What We Look For
10+ years of experience in data warehousing and familiar with modern lakehouse architectures
Deep technical knowledge of the Data Warehousing Product, e.g. Snowflake, BigQuery, etc.
Trusted advisor to technical executives that inform strategic data decisions
Proven track record of successful pre-sales experience in competitive situations
Ability to define and execute strategic programs cross functionally
High impact communication internally and externally
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500—rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
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Airwallex (airwallex.com) is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.

As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.

Part 1. Data Modeling

• Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.
• Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.
• Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models.
• Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.
• Maintain data consistency, traceability, and quality across multiple data sources and domains.

Part 2. ETL and Data Pipeline Management

• Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow — from data ingestion to transformation and delivery.
• Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.
• Bonus if you’ve worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency.

Part 3. Data Governance

• Participate in and contribute to data governance strategies, policies, and standards.
• Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).

Part 4. Data + AI

• We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.

These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them — especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

• Bachelor’s degree in Computer Science, Information Systems, Finance, Maths or a related field. A master's degree is a plus.
• Proven experience (~5 years) in designing and implementing ETL processes using tools such as Informatica, Talend, Apache NiFi, or similar. If you have less than five years of work experience but have done very well in similar roles, we’re happy to consider you for a Mid-Level position (Data Engineer II). Just keep in mind that this role requires at least two years of work experience.
• Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
• Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
• Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
• Outstanding verbal communication skills for effective interaction with overseas teams.

• Experience with financial industries, payment systems, or fintech platforms.
• Knowledge of data governance practices and regulatory requirements in the financial industry.
• Experience with scripting languages (e.g., Python, R) for data analysis and automation.
• Certification in data management or related technologies is a plus.

At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.

Airwallex is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence, and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into concerning the specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

About Airwallex
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
Attributes We Value
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‐to‐one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‐visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
Senior Data Engineer (ETL & Modeling)
Hiring Location: Singapore and Shanghai
Airwallex is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.
Who We Are? About the Team:
As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.
What you’ll do
Part 1. Data Modeling
Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.
Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.
Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models.
Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.
Maintain data consistency, traceability, and quality across multiple data sources and domains.
Part 2. ETL and Data Pipeline Management
Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow — from data ingestion to transformation and delivery.
Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.
Bonus if you’ve worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency.
Part 3. Data Governance
Participate in and contribute to data governance strategies, policies, and standards.
Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).
Part 4. Data + AI
We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.
These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them — especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.
Who you are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
Bachelor’s degree in Computer Science, Information Systems, Finance, Maths or a related field. A master's degree is a plus.
Proven experience (~5 years) in designing and implementing ETL processes using tools such as Informatica, Talend, Apache NiFi, or similar. If you have less than five years of work experience but have done very well in similar roles, we’re happy to consider you for a Mid-Level position (Data Engineer II). Just keep in mind that this role requires at least two years of work experience.
Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work.
Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
Outstanding verbal communication skills for effective interaction with overseas teams.
Preferred qualifications:
Experience with financial industries, payment systems, or fintech platforms.
Knowledge of data governance practices and regulatory requirements in the financial industry.
Experience with scripting languages (e.g., Python, R) for data analysis and automation.
Certification in data management or related technologies is a plus.
At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. If you are approached by someone claiming to represent Airwallex, please verify with our team.
#J-18808-Ljbffr

About Airwallex
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world–leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
Attributes We Value
We hire successful builders with founder–like energy who want real impact, accelerated learning, and true ownership. You bring strong role‐related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‐to‐one ideas into real products, and you “get stuff done” end‐to‐end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‐visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
Data Engineer II (Modeling, ETL)
Hiring Location: Singapore and Shanghai
Airwallex (airwallex.com) is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.
Who We Are? About the Team:
As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross‐functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.
What you’ll do
Part 1. Data Modeling
Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.
Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.
Collaborate closely with business teams to translate their data needs into clean, structured, and well‐documented models.
Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.
Maintain data consistency, traceability, and quality across multiple data sources and domains.
Part 2. ETL and Data Pipeline Management
Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end‐to‐end data workflow — from data ingestion to transformation and delivery.
Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.
Bonus if you’ve worked with data across distributed or multi‐datacenter systems, including solving challenges related to data migration, duplication, and consistency.
Part 3. Data Governance
Participate in and contribute to data governance strategies, policies, and standards.
Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).
Part 4. Data + AI
We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.
These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them – especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.
Who you are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
Bachelor’s degree in Computer Science, Information Systems, Finance, Maths or a related field. A master's degree is a plus.
At least 2 years of data engineering related experience.
Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
Excellent problem‐solving skills, with a keen attention to detail and a commitment to producing high‐quality work.
Strong communication and collaboration skills, with the ability to work effectively in a fast‐paced, team‐oriented environment.
Outstanding verbal communication skills for effective interaction with overseas teams.
Preferred qualifications:
Experience with financial industries, payment systems, or fintech platforms.
Knowledge of data governance practices and regulatory requirements in the financial industry.
Experience with scripting languages (e.g., Python, R) for data analysis and automation.
Certification in data management or related technologies is a plus.
At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team‐building events and we give our people the freedom to be creative.
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. If you are approached by someone claiming to represent Airwallex, please verify with our team.
#J-18808-Ljbffr

Data Engineer II (Modeling, ETL)
Hiring Location: Singapore and Shanghai
Airwallex (airwallex.com) is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.
Who We Are? About the Team:
As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.
What you’ll do
Part 1. Data Modeling
Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.
Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.
Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models.
Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.
Maintain data consistency, traceability, and quality across multiple data sources and domains.
Part 2. ETL and Data Pipeline Management
Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow — from data ingestion to transformation and delivery.
Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.
Bonus if you’ve worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency.
Part 3. Data Governance
Participate in and contribute to data governance strategies, policies, and standards.
Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).
Part 4. Data + AI
We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.
These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them — especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.
Who you are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
Bachelor’s degree in Computer Science, Information Systems, Finance, Maths or a related field. A master's degree is a plus.
At least 2 years of data engineering related experience.
Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work.
Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
Outstanding verbal communication skills for effective interaction with overseas teams.
Preferred qualifications:
Experience with financial industries, payment systems, or fintech platforms.
Knowledge of data governance practices and regulatory requirements in the financial industry.
Experience with scripting languages (e.g., Python, R) for data analysis and automation.
Certification in data management or related technologies is a plus.
At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.
#J-18808-Ljbffr

Airwallex (airwallex.com ) is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.

As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.

Part 1. Data Modeling

• Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs.
• Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases.
• Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models.
• Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines.
• Maintain data consistency, traceability, and quality across multiple data sources and domains.

Part 2. ETL and Data Pipeline Management

• Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow — from data ingestion to transformation and delivery.
• Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions.
• Bonus if you’ve worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency.

Part 3. Data Governance

• Participate in and contribute to data governance strategies, policies, and standards.
• Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).

Part 4. Data + AI

• We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways.

These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them — especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus.

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

• Bachelor’s degree in Computer Science, Information Systems, Finance, Maths or a related field. A master's degree is a plus.
• At least 2 years of data engineering related experience.
• Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
• Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
• Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
• Outstanding verbal communication skills for effective interaction with overseas teams.

• Experience with financial industries, payment systems, or fintech platforms.
• Knowledge of data governance practices and regulatory requirements in the financial industry.
• Experience with scripting languages (e.g., Python, R) for data analysis and automation.
• Certification in data management or related technologies is a plus.

At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.