143 Data Pipeline jobs in Singapore

Data Pipeline Specialist

Singapore, Singapore beBeeDataEngineer

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Job Description

Job Overview

The Data Pipeline Specialist plays a pivotal role in the management of extract/transform/load processes to ensure seamless data availability. This position entails designing, developing, and refining ETL pipelines in Azure Data Factory for efficient data flow from source to destination.

Key responsibilities include guaranteeing data accuracy and integrity throughout the ETL processes via data validation, cleansing, deduplication, and error handling. The specialist must monitor ETL processes, optimize ETL pipelines for speed and efficiency, and address bottlenecks to ensure reliable and usable data is ingested.

The Data Pipeline Specialist will participate in data modeling, designing data structures and schema in the data warehouse to optimize query performance and align with business needs. They will work closely with various departments and IT teams to understand data requirements and deliver data infrastructure that supports business goals.

The successful candidate will provide technical support for ETL systems, troubleshoot issues, and ensure continuous availability and reliability of data flows. They will also ensure proper documentation of data sources, ETL processes, and data architecture.

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    Senior Data Pipeline Engineer

    Singapore, Singapore Motional

    Posted 13 days ago

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    Job Description

    We are seeking a talented Senior Data Pipeline Engineer to design and implement robust large scale data processing and transformation pipelines in the Data Platform team.

    The Data Platform builds a scalable compute platform that is used throughout the company, enabling a diverse set of teams to access data, extract meaningful automated metrics out of the data, and perform various ad-hoc analyses on the data. We deal with data on the petabyte scale and provide critical functions to improve the development of a reliable AV by allowing various researchers and engineers to understand how the AV performs various tasks and scenarios in real world or simulated environments. The Data Platform team is responsible for building automated pipelines to perform extraction of information from the data, transformation of data into different formats that can be consumed by downstream services and for building interfaces to enable easy access to the data.

    What You'll Be Doing

    • Design, build, maintain and monitor scalable data pipelines in the cloud infra.
    • Design and build self-service data platform infrastructure and backend services
    • Write high quality, maintainable code
    • Mentor junior engineers with high-level system design and code reviews
    • Communicate with stakeholders and team leads to identify system requirements
    • Take a strong sense of ownership and responsibility for reliable and efficient data pipelines.

    What We're Looking For

    • 5+ years of professional work experience as a data pipeline engineer.
    • BS or MS in Computer Science or related field
    • Expertise with distributed data processing frameworks, such as Spark, Flink, Beam
    • Expertise with Java, Python or Go
    • Experience with AWS services and solutions
    • Experience with cloud-native backend software development is a plus
    • Experience with Kubernetes is a strong plus
    • Strong written and oral communication skills
    • Comfortable working in a fast-paced, continuous delivery environment

    Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

    Our journey is always people first.

    We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

    We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.

    Scale up, not starting up.

    Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

    Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter , LinkedIn ,Instagram and YouTube .

    Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

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    As set forth in Motional’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

    If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

    A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

    A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

    An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

    An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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    Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at .

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    Senior Data Pipeline Specialist

    Singapore, Singapore beBeeDataEngineer

    Posted today

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    Job Description

    Data Engineering Role

    The company is looking for a Data Engineer to join their team. This role involves working with data to design, develop, and implement solutions that meet business needs.

    Job Responsibilities
    • Design and develop data pipelines using PySpark
    • Implement and maintain a datalake
    • Establish connections to source data systems
    • Manage collected data in appropriate storage solutions
    • Perform data integration using database table joins
    • Deploy pipeline artifacts using Azure Devops
    Requirements
    • Bachelor's Degree in Computer Science or Engineering
    • 2 years of experience in Azure Data engineering, Python, PySpark, or Big Data development
    • Sound knowledge of Azure Synapse analytics for pipelines, orchestration, set up
    • Experience in Visualization design and development with Power BI
    • Sound experience in SQL, Datawarehouse, data marts, data ingestion with PySpark and Python
    Benefits
    • Able to work independently on assignment
    • Own assignment and take initiative to resolve issues
    • Team player with good interpersonal, communication, and problem-solving skills

    Tell employers what skills you have: PySpark, Factory, Azure, Big Data, Pipelines, Hadoop, ETL, Data Integration, Data Governance, Data Engineering, SQL, Python, Visualization, Metadata, Power BI, Databases

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    Chief Data Pipeline Architect

    Singapore, Singapore beBeeDataEngineer

    Posted today

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    Job Description

    Data Engineer Position Overview ">

    Our organization is seeking a Data Engineer to play a crucial role in designing and developing scalable data pipelines using Azure Data Factory, Databricks, and Spark. This is an opportunity for a talented individual with a strong understanding of big data technologies to collaborate with cross-functional teams and drive business growth through data-driven insights.


    Key Responsibilities:
    • Develop efficient data pipelines using Azure Data Factory, Databricks, and Spark.
    • Ingest, transform, and store structured and unstructured data from various sources including REST APIs.
    • Write SQL queries for data extraction, transformation, and reporting.
    • Maintain high-performance data models in Azure Cosmos DB.
    • Collaborate with data scientists, analysts, and stakeholders to understand data requirements.
    • Implement data quality, monitoring, and validation processes.
    • Optimize data workflows for performance, scalability, and cost efficiency in the cloud.
    • Ensure data security, compliance, and governance in alignment with enterprise policies.
    • Participate in code reviews, testing, and documentation of data solutions.
    • Stay updated with emerging Azure and big data technologies to continuously improve data engineering practices.

    Requirements:
    • Strong understanding of big data technologies and data engineering principles.
    • Proficient in Azure Data Factory, Databricks, Spark, and Hadoop.
    • Experience with ETL processes and data quality management.
    • Excellent communication and collaboration skills.
    • Ability to work in a fast-paced environment and adapt to changing priorities.
    This advertiser has chosen not to accept applicants from your region.

    Senior Data Pipeline Engineer

    Singapore, Singapore Motional

    Posted today

    Job Viewed

    Tap Again To Close

    Job Description

    We are seeking a talented Senior Data Pipeline Engineer to design and implement robust large scale data processing and transformation pipelines in the Data Platform team.
    The Data Platform builds a scalable compute platform that is used throughout the company, enabling a diverse set of teams to access data, extract meaningful automated metrics out of the data, and perform various ad-hoc analyses on the data. We deal with data on the petabyte scale and provide critical functions to improve the development of a reliable AV by allowing various researchers and engineers to understand how the AV performs various tasks and scenarios in real world or simulated environments. The Data Platform team is responsible for building automated pipelines to perform extraction of information from the data, transformation of data into different formats that can be consumed by downstream services and for building interfaces to enable easy access to the data.
    What You'll Be Doing
    Design, build, maintain and monitor scalable data pipelines in the cloud infra.
    Design and build self-service data platform infrastructure and backend services
    Write high quality, maintainable code
    Mentor junior engineers with high-level system design and code reviews
    Communicate with stakeholders and team leads to identify system requirements
    Take a strong sense of ownership and responsibility for reliable and efficient data pipelines.
    What We're Looking For
    5+ years of professional work experience as a data pipeline engineer.
    BS or MS in Computer Science or related field
    Expertise with distributed data processing frameworks, such as Spark, Flink, Beam
    Expertise with Java, Python or Go
    Experience with AWS services and solutions
    Experience with cloud-native backend software development is a plus
    Experience with Kubernetes is a strong plus
    Strong written and oral communication skills
    Comfortable working in a fast-paced, continuous delivery environment
    Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
    Our journey is always people first.
    We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
    We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
    Scale up, not starting up.
    Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
    Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter , LinkedIn ,Instagram and YouTube .
    Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
    Apply for this job
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    Permanent Legal Address *
    Current / Most Recent Employer Select.
    If 'Other', please list.
    Have you previously worked within the Motional ecosphere? (ex. Motional, Ottomatika, Aptiv, nuTonomy, or Hyundai Motor Company) * Select.
    If yes, please describe.
    Will you now or in the future require visa sponsorship for employment at Motional in Singapore? (for example: EP, etc.) * Select.
    LinkedIn Profile URL
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    Internal Applicants: Please enter your name as it appears in Oracle and please ensure you are using this same name when applying.
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    Voluntary Self-Identification
    For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.
    As set forth in Motional’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.
    If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:
    A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.
    A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
    An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
    An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.
    Select.
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    Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026
    Why are you being asked to complete this form?
    We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.
    Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at .
    How do you know if you have a disability?
    A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability.
    Disabilities include, but are not limited to:
    Alcohol or other substance use disorder (not currently using drugs illegally)
    Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
    Blind or low vision
    Cancer (past or present)
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    Celiac disease
    Cerebral palsy
    Deaf or serious difficulty hearing
    Diabetes
    Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
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    Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
    Intellectual or developmental disability
    Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
    Missing limbs or partially missing limbs
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    Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
    Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
    Partial or complete paralysis (any cause)
    Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
    Short stature (dwarfism)
    Traumatic brain injury
    Disability Status Select. PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.
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    Data Architecture Specialist

    Singapore, Singapore beBeeDataSecurity

    Posted today

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    Job Description

    Job Title: Data Architecture Specialist

    We are seeking a highly skilled and experienced data architecture specialist to design, build, and optimize end-to-end data architecture for social service platforms. This role involves leading efforts in data modeling, pipeline development, API integration, data security, and cross-agency data synchronization, ensuring secure and efficient access to critical citizen information.

    Key Responsibilities:

    1. Data Architecture & Pipeline Development

    • Design and implement scalable and reusable data models to support social service integration.
    • Build and manage ETL/ELT pipelines for legacy system migration and real-time data synchronization across agencies.
    • Develop and maintain batch and streaming data pipelines for cross-agency data sharing.
    • Implement data validation frameworks and monitoring systems to ensure high data quality.

    2. Integration Development & API Management

    • Design and develop RESTful APIs and system integrations for solutions like case management software.
    • Develop and maintain detailed API documentation, including interface contracts and change logs.
    • Ensure API performance, security, availability, and scalability through structured testing and monitoring.

    3. Data Security & Compliance

    • Enforce data protection measures, including field-level encryption, role-based access controls, and secure data transfer.
    • Ensure compliance with regulatory frameworks.
    • Maintain audit trails, implement data masking, and classify sensitive data appropriately.
    • Monitor and enforce data policies across environments.

    4. Performance Optimization & Monitoring

    • Tune query performance and batch processing to support near real-time analytics.
    • Monitor and optimize real-time data synchronization processes.
    • Develop and maintain performance dashboards to track pipeline health and system metrics.
    • Ensure high system reliability, uptime, and service level objectives (SLOs) are met.

    5. Cross-Team Collaboration

    • Collaborate closely with business analysts, solution architects, DevOps, and frontend/backend developers.
    • Participate in Agile ceremonies, including sprint planning, backlog grooming, and retrospectives.
    • Conduct code reviews, engage in pair programming, and foster technical excellence within the team.
    • Provide expertise and support on data integration and architecture.

    6. Quality Assurance & Documentation

    • Maintain clear and up-to-date technical documentation, including system design and data flow diagrams.
    • Develop automated test cases to validate data transformations and integration logic.
    • Conduct end-to-end data accuracy validation across source and destination systems.
    • Create troubleshooting playbooks and resolution procedures to support operational teams.

    Requirements:

    • Bachelor's or Master's degree in Computer Science, Information Systems, or related discipline.
    • 7+ years of experience in data architecture, data engineering, or system integration roles.
    • Proficient in ETL tools, SQL, data modeling, and real-time stream processing frameworks.
    • Strong experience with API development and integration standards.
    • Familiarity with systems integration, services, and compliance requirements.
    • Solid understanding of data security, access control, and compliance frameworks.
    • Experience in cloud platforms, CI/CD pipelines, and monitoring tools.
    • Excellent communication and documentation skills.
    Scalability, Cloud, Data Modeling, Quality Assurance, Pipelines, ETL, Data Integration, Data Security, Data Quality, Test Cases, Access Control, Data Engineering, SQL, System Design, Compliance, Data Architecture, API
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    Data Architecture Specialist

    Singapore, Singapore beBeeData

    Posted today

    Job Viewed

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    Job Description

    Job Opportunity

    We are seeking a skilled professional to fill the role of Data Engineer/Software Developer.

    The successful candidate will be responsible for designing and implementing data integration pipelines and asynchronous data events using event-driven architecture to consolidate data from various sources and systems.

    • Collaborate with highly skilled Software Engineers and Data Engineers in deploying and delivering software products.
    • Taking ownership of key software components development.
    • Design, develop, and maintain scalable data models and schemas using best practices.
    • Develop integration connectors for multiple sources and systems.
    • Data transformation and processing: clean, normalize, and aggregate data.
    • Strong knowledge of data manipulation languages like SQL necessary to build and maintain complex queries and data pipelines.
    • Implement event-driven processing pipelines using frameworks like Solace Pubsub, Apache Kafka, MQTT, AMQP.
    Requirements
    • Bachelor's/Master's degree in Computer Science / Engineering / Industrial Engineering or related field.
    • Proficiency in at least one object-oriented language; Java skills are desirable.
    • Deep understanding of event-driven architecture, data producers and consumers.
    • Knowledge on data analytics pipeline, data lakehouse & warehouse concept.
    • Familiarity with relational and non-relational databases.
    • Excellent communication, collaboration, and problem-solving skills.
    Key Responsibilities
    • Work collaboratively as part of a team.
    • Design and implement data pipelines.
    • Develop integration connectors.
    • Maintain data quality.
    • Collaborate with cross-functional teams.

    As a Data Engineer/Software Developer, you will have the opportunity to work on challenging projects and contribute to the success of the company. We offer a competitive compensation package and opportunities for career growth and professional development.

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    VP, Data Architecture & Strategy

    Singapore, Singapore Charterhouse Asia

    Posted 20 days ago

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    Job Description

    Get AI-powered advice on this job and more exclusive features.

    Direct message the job poster from Charterhouse Asia

    Recruiting Top Talent in Technology, Quant Dev, & Digital l Career Coach l

    A leading financial services firm is looking to hire a VP of Data Strategy & Architecture to join their dynamic data function. This leadership role will play a key part in designing robust data models that power core banking functions, regulatory reporting, risk analytics and broader strategic initiatives.

    This is an exciting opportunity for a seasoned data professional who thrives in fast-paced, complex environments and is passionate about building scalable data architecture that drives meaningful business outcomes.

    Responsibilities:

    • Partner with business and technology stakeholders to gather data requirements related to banking products, customer transactions, reporting, and analytics.
    • Design and maintain logical and physical data models that align with key business use cases.
    • Convert complex business requirements into scalable, efficient data structures that support both operations and analytics.
    • Lead the development and continuous improvement of data marts, data warehouses, and integration layers.
    • Collaborate with engineering teams to ensure optimal deployment and performance of physical data models.
    • Align data architecture with governance, quality, and metadata standards.
    • Produce thorough documentation, including data dictionaries, data flow diagrams, and architecture designs to support regulatory, audit, and business needs.
    • Contribute to data lineage, metadata, and data quality initiatives to enhance trust in enterprise data.

    Requirements:

    • Degree in Computer Science, Information Systems, Data Science, or related field (Master’s preferred).
    • 10+ years of experience in data architecture, modeling, or data management, ideally within the financial services or banking sector.
    • Solid understanding of data governance principles (e.g. DAMA-DMBOK).
    • Proven expertise in building data models for banking, risk, compliance, and finance domains.
    • Skilled in data modeling tools such as Erwin, PowerDesigner, or similar platforms.
    • Strong SQL capabilities with hands-on experience working with large-scale financial data sets.
    • Deep understanding of relational and dimensional modeling, as well as data warehousing and integration strategies.
    • Familiarity with APAC financial regulatory frameworks is a plus.
    • Strong interpersonal and communication skills, with the ability to engage and align with both technical and business stakeholders.

    For a confidential discussion, please contact Jackie Panopio at +65 6950 0369 or via email at

    Seniority level
    • Seniority level Mid-Senior level
    Employment type
    • Employment type Full-time
    Job function
    • Job function Information Technology
    • Industries Financial Services, Data Infrastructure and Analytics, and IT System Data Services

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    VP, Data Architecture & Strategy

    Singapore, Singapore Charterhouse Asia

    Posted today

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    Job Description

    Get AI-powered advice on this job and more exclusive features.

    Direct message the job poster from Charterhouse Asia

    Recruiting Top Talent in Technology, Quant Dev, & Digital l Career Coach l

    A leading financial services firm is looking to hire a VP of Data Strategy & Architecture to join their dynamic data function. This leadership role will play a key part in designing robust data models that power core banking functions, regulatory reporting, risk analytics and broader strategic initiatives.

    This is an exciting opportunity for a seasoned data professional who thrives in fast-paced, complex environments and is passionate about building scalable data architecture that drives meaningful business outcomes.

    Responsibilities:

    • Partner with business and technology stakeholders to gather data requirements related to banking products, customer transactions, reporting, and analytics.
    • Design and maintain logical and physical data models that align with key business use cases.
    • Convert complex business requirements into scalable, efficient data structures that support both operations and analytics.
    • Lead the development and continuous improvement of data marts, data warehouses, and integration layers.
    • Collaborate with engineering teams to ensure optimal deployment and performance of physical data models.
    • Align data architecture with governance, quality, and metadata standards.
    • Produce thorough documentation, including data dictionaries, data flow diagrams, and architecture designs to support regulatory, audit, and business needs.
    • Contribute to data lineage, metadata, and data quality initiatives to enhance trust in enterprise data.

    Requirements:

    • Degree in Computer Science, Information Systems, Data Science, or related field (Master’s preferred).
    • 10+ years of experience in data architecture, modeling, or data management, ideally within the financial services or banking sector.
    • Solid understanding of data governance principles (e.g. DAMA-DMBOK).
    • Proven expertise in building data models for banking, risk, compliance, and finance domains.
    • Skilled in data modeling tools such as Erwin, PowerDesigner, or similar platforms.
    • Strong SQL capabilities with hands-on experience working with large-scale financial data sets.
    • Deep understanding of relational and dimensional modeling, as well as data warehousing and integration strategies.
    • Familiarity with APAC financial regulatory frameworks is a plus.
    • Strong interpersonal and communication skills, with the ability to engage and align with both technical and business stakeholders.

    For a confidential discussion, please contact Jackie Panopio at +65 6950 0369 or via email at

    Seniority level

    • Seniority level

      Mid-Senior level

    Employment type

    • Employment type

      Full-time

    Job function

    • Job function

      Information Technology
    • Industries

      Financial Services, Data Infrastructure and Analytics, and IT System Data Services

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    Chief Data Architecture Strategist

    Singapore, Singapore beBeeDataArchitecture

    Posted today

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    Job Description

    Job Description

    We are seeking a highly skilled Chief Data Architecture Strategist to join our team. As a Senior Data Platform Solution Architect, you will play a crucial role in developing and maintaining Azure Data Architecture within a banking environment, ensuring compliance with data-related policies and standards.

    Your primary responsibilities will include designing and implementing data solutions using Databricks, including data pipelines, ETL processes, and data lakes, while analyzing system integration challenges and collaborating with data engineers and IT teams to address technical issues and support infrastructure needs.

    You will also be responsible for implementing data security and privacy protection measures, and developing strategies for data acquisition, archive recovery, and database implementation.

    In addition, you will collaborate with data governance teams to ensure data solutions comply with banking regulations.

    Lastly, you will monitor system performance, troubleshoot issues, and maintain up-to-date knowledge of the Azure platform, Databricks, and industry best practices.

    Required Skills and Qualifications
    • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related discipline.
    • Extensive experience with Azure services, including Azure SQL Database, Data Factory, Data Lake Store, Data Lake Analytics, Stream Analytics, Azure Storage, Cosmos DB, and Databricks.
    • Proven expertise in designing and implementing solutions using Databricks, including Spark, Delta Lake, and MLflow.
    • Proven experience in data architecture and management, preferably within a cloud environment.
    • Banking experience or a strong understanding of banking regulations is preferred.
    Benefits

    This role offers an opportunity to work with a cutting-edge technology stack and contribute to the development of innovative data solutions.

    About Us

    We are a leading organization in the field of data management and architecture, committed to delivering high-quality solutions to our clients.

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