211 Cloud Data jobs in Singapore

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven Technical Lead who is keen in exploring Data & Infra to join us!

Location: Central

Roles and Responsibilities:

• Lead the design and implementation of secure, scalable, and cost-optimized cloud architectures (AWS, Azure, GCP).
• Drive cloud migration strategies, hybrid/multi-cloud adoption, and platform modernization initiatives.
• Ensure compliance with governance, security, and operational best practices.
• Oversee data ingestion, transformation, and storage pipelines (e.g., Databricks, Spark, SQL, ETL).
• Architect and optimize data lakehouses, warehouses, and data marts to support analytics and reporting.
• Implement best practices for data quality, data lineage, and data governance.
• Lead and mentor engineers, providing technical guidance and career development support.
• Act as a bridge between business stakeholders, solution architects, and engineering teams.
• Enforce engineering standards (CI/CD, DevOps, Infrastructure as Code).
• Review technical designs, code quality, and ensure adherence to InfoCepts’ best practices.
• Translate business requirements into technical solutions and roadmaps.
• Oversee end-to-end project delivery, ensuring timelines, quality, and cost objectives are met.
• Identify risks, performance bottlenecks, and propose mitigation strategies.
• Support pre-sales and client engagements with solution demonstrations and technical proposals.

Skills Required:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• Proven experience in cloud architecture, data engineering, and leading technical teams.
• Strong expertise in:
• Cloud Platforms : AWS, Azure, or GCP
• Data Engineering : Databricks, Spark, SQL, ETL tools
• Infrastructure as Code : Terraform, Ansible, CloudFormation
• DevOps : CI/CD pipelines, containerization (Docker, Kubernetes)
• Excellent leadership, communication, and stakeholder management skills.
• Ability to balance hands-on engineering with strategic oversight.
  

Cloud Data Architect Job Description

We are seeking a seasoned Cloud Data Architect to design and implement robust data pipelines, integrate with cloud platforms, and optimize ETL jobs for scalability and fault tolerance.

About the Role:

• Create and maintain ETL pipelines to ingest, transform, and load high-volume data from IT infrastructure, monitoring systems, and cloud environments.
• Develop batch and real-time data flows using frameworks such as Python, Go, Java, or Ruby.
• Optimize ETL jobs for scalability, fault tolerance, and low latency.
• Implement data validation, cleansing, and normalization processes for consistent AI model input.
• Integrate with AIOps platforms and ML pipelines using REST APIs or event-driven architectures.
• Design and build backend services (microservices, APIs) to support data ingestion, metadata services, and configuration management.
• Use tools like Elastic Stack, Apache Airflow, Prefect, or Dagster to schedule and monitor ETL jobs.

Requirements:

• 4+ years of experience in data engineering with a proven track record of delivering large-scale data solutions.
• Strong expertise in Snowflake, Advanced SQL, GBI ETL framework, and Python.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Prior experience in stakeholder management, including requirements gathering, design playback, and presentations.

Benefits:

• This role requires strong technical skills, excellent communication skills, and the ability to work collaboratively with cross-functional teams.

Skills:

• ETL Frameworks: Apache NiFi, Spark, Airflow, Flink, Kafka, Talend.
• Orchestration: Airflow, Prefect, Dagster.
• Data Storage: PostgreSQL, MongoDB, Elasticsearch, Snowflake, BigQuery.
• Streaming Platforms: Kafka, Kinesis, Pub/Sub.

This role involves leading the development and maintenance of data architecture within a banking environment.

The ideal candidate will have extensive experience with cloud services, particularly Azure, and proven expertise in designing and implementing solutions using Databricks.

A strong understanding of data governance and compliance with banking regulations is also essential.

• Data Architecture Development
• Solution Design and Implementation
• Data Governance and Compliance

The successful candidate will be responsible for monitoring system performance, troubleshooting issues, and maintaining up-to-date knowledge of the Azure platform and industry best practices.

To be considered for this role, applicants should have a bachelor's degree in Computer Science, Computer Engineering, or a related field, and possess extensive experience with Azure services.

Banking experience or a strong understanding of banking regulations is highly desirable.

• Azure Services Experience
• Databricks Expertise
• Data Governance Knowledge
• Banking Regulations Understanding

We are seeking a skilled professional to join our team as a Senior Data Architect. If you have the required skills and experience, please submit your application.

Our client, a leading financial institution, is seeking an experienced Senior Cloud Data Architect to design and build cloud-based data solutions that drive better outcomes.

Key Responsibilities:

• Design and develop scalable and secure cloud-based data architectures
• Develop and maintain data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access
• Collaborate with cross-functional teams to ensure seamless integration of data solutions
• Stay up-to-date with emerging trends and technologies in cloud data architecture

Qualifications:

• 10+ years of experience in cloud data architecture and engineering
• Strong knowledge of Azure cloud-based solutions, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
• Experience with big data and analytics solutions, including Hadoop, NoSQL databases, and data lakes
• Excellent communication and collaboration skills

Benefits:

• Competitive salary and benefits package
• Opportunity to work with a leading financial institution
• Collaborative and dynamic work environment

Interested candidates please submit your latest resume to email.

Job Title: Cloud Data Architect Lead

We are seeking an experienced Cloud Data Architect Lead to join our team. As a key member of our organization, you will be responsible for designing and building Big data development teams.

Your primary focus will be on delivering architectures for transformation of enterprise data solutions using Azure cloud data technologies. You will work closely with business stakeholders to propose architecture decisions and have a sound understanding of Azure cloud-based solutions.

In this role, you will also develop and maintain data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access. Additionally, you will experience in CI/CD.

• Minimum 10 years of experience with minimum 3 years working with complex Azure data solutions.
• Prior experience working with large-scale big data and analytics solutions.
• Minimum 4 years of experience in a lead role.
• Experience in architecting and designing solutions using Microsoft Azure Databricks and Azure cloud.
• Experience with ADF is preferred.
• Experience in business process mapping of data and analytics solutions.
• Experience in cloud/infrastructure technologies.
• Experience with different database technologies (e.g., SQL database(s), NoSQL such as Hadoop, MongoDB, Redis, etc.).

This is a great opportunity for a skilled professional to join our team and contribute to the success of our organization. If you are passionate about cloud data architecture and want to work with a talented team, please apply for this position.

We are committed to providing a supportive and collaborative work environment that fosters growth and development. Our team is dedicated to delivering high-quality solutions that meet the needs of our customers.

If you are interested in this opportunity, please submit your application, including your latest resume and any relevant certifications or credentials.

Our company is a leading provider of innovative solutions in the field of cloud data architecture. We are passionate about delivering high-quality solutions that meet the needs of our customers.

We are committed to providing a supportive and collaborative work environment that fosters growth and development. Our team is dedicated to delivering high-quality solutions that meet the needs of our customers.

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.
We are hiring aspiring / proven Technical Lead who is keen in exploring Data & Infra to join us!
Location:
Central
Roles and Responsibilities:
Lead the design and implementation of secure, scalable, and cost-optimized cloud architectures (AWS, Azure, GCP).
Drive cloud migration strategies, hybrid/multi-cloud adoption, and platform modernization initiatives.
Ensure compliance with governance, security, and operational best practices.
Oversee data ingestion, transformation, and storage pipelines (e.g., Databricks, Spark, SQL, ETL).
Architect and optimize data lakehouses, warehouses, and data marts to support analytics and reporting.
Implement best practices for data quality, data lineage, and data governance.
Lead and mentor engineers, providing technical guidance and career development support.
Act as a bridge between business stakeholders, solution architects, and engineering teams.
Enforce engineering standards (CI/CD, DevOps, Infrastructure as Code).
Review technical designs, code quality, and ensure adherence to InfoCepts’ best practices.
Translate business requirements into technical solutions and roadmaps.
Oversee end-to-end project delivery, ensuring timelines, quality, and cost objectives are met.
Identify risks, performance bottlenecks, and propose mitigation strategies.
Support pre-sales and client engagements with solution demonstrations and technical proposals.
Skills Required:
Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
Proven experience in cloud architecture, data engineering, and leading technical teams.
Strong expertise in:
Cloud Platforms : AWS, Azure, or GCP
Data Engineering : Databricks, Spark, SQL, ETL tools
Infrastructure as Code : Terraform, Ansible, CloudFormation
DevOps : CI/CD pipelines, containerization (Docker, Kubernetes)
Excellent leadership, communication, and stakeholder management skills.
Ability to balance hands-on engineering with strategic oversight.
#J-18808-Ljbffr

Job Title:
AWS ETL Cloud Data Engineer
Job Overview:
The AWS Cloud Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and data infrastructure in the AWS cloud environment. This role requires expertise in AWS services, data modeling, ETL processes, and a keen understanding of best practices for data management and governance.
Key Responsibilities:
Design, build, and operationalize large-scale enterprise data solutions and applications using AWS data and analytics services in combination with third-party tools – including Spark/Python on Glue, Redshift, S3, Athena, RDS-PostgreSQL, Airflow, Lambda, DMS, Code Commit, Code Pipeline, Code Build, etc.
Design and build production ETL data pipelines from ingestion to consumption within a big data architecture, using DMS, DataSync, and Glue.
Understand existing applications (including on-premise Cloudera Data Lake) and infrastructure architecture.
Analyze, re-architect, and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or third-party services.
Design and implement data engineering, ingestion, and curation functions on AWS cloud using native AWS services or custom programming.
Perform detailed assessments of current data platforms and create transition plans to AWS cloud.
Collaborate with development, infrastructure, and data center teams to define Continuous Integration and Continuous Delivery processes following industry standards.
Work on hybrid Data Lake environments.
Coordinate with multiple stakeholders to ensure high standards are maintained.
Mandatory Skill-set:
Bachelor's Degree in Computer Science, Information Technology, or related fields.
5+ years of experience with ETL, Data Modeling, Data Architecture to build Data Lakes. Proficient in ETL optimization, designing, coding, and tuning big data processes using PySpark.
3+ years of extensive experience working on AWS platform using core services like AWS Athena, Glue PySpark, Redshift, RDS-PostgreSQL, S3, and Airflow for orchestration.
Good to Have Skills:
Fundamentals of the Insurance domain.
Functional knowledge of IFRS17.
Understanding of 14 days AL (Accumulated Leave).
Knowledge of company insurance benefits.
#J-18808-Ljbffr

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven Technical Lead who is keen in exploring Data & Infra to join us!

Location: Central

Roles and Responsibilities:

• Lead the design and implementation of secure, scalable, and cost-optimized cloud architectures (AWS, Azure, GCP).
• Drive cloud migration strategies, hybrid/multi-cloud adoption, and platform modernization initiatives.
• Ensure compliance with governance, security, and operational best practices.
• Oversee data ingestion, transformation, and storage pipelines (e.g., Databricks, Spark, SQL, ETL).
• Architect and optimize data lakehouses, warehouses, and data marts to support analytics and reporting.
• Implement best practices for data quality, data lineage, and data governance.
• Lead and mentor engineers, providing technical guidance and career development support.
• Act as a bridge between business stakeholders, solution architects, and engineering teams.
• Enforce engineering standards (CI/CD, DevOps, Infrastructure as Code).
• Review technical designs, code quality, and ensure adherence to InfoCepts’ best practices.
• Translate business requirements into technical solutions and roadmaps.
• Oversee end-to-end project delivery, ensuring timelines, quality, and cost objectives are met.
• Identify risks, performance bottlenecks, and propose mitigation strategies.
• Support pre-sales and client engagements with solution demonstrations and technical proposals.

Skills Required:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• Proven experience in cloud architecture, data engineering, and leading technical teams.
• Strong expertise in:
• Cloud Platforms : AWS, Azure, or GCP
• Data Engineering : Databricks, Spark, SQL, ETL tools
• Infrastructure as Code : Terraform, Ansible, CloudFormation
• DevOps : CI/CD pipelines, containerization (Docker, Kubernetes)
• Excellent leadership, communication, and stakeholder management skills.
• Ability to balance hands-on engineering with strategic oversight.
  

Do meaningful work with us. Every day.

At Amplify Health, we're looking for individuals with ambition, resilience and passion for healthcare, insurance, wellness and digital technology. As a fast-growing business with the ambition of making people and communities across Asia healthier, we have exciting career opportunities available to help us achieve our vision.

Lead development and production deployment of enterprise-level analytic data products determining appropriate design strategies and methodologies.

Who we are

Amplify Health Asia Pte. Limited (Amplify Health) is a leading health technology and analytics organisation, providing our customers with integrated solutions to improve outcomes for individuals and the sustainability of health systems.

We aim to be a trusted custodian of Asia's largest repository of health data, unifying financial, clinical, operational and behavioural data to empower our customers with insights that highlight opportunities to deliver better value and care outcomes.

We've set a bold vision

The vision for Amplify Health is to be a leading digital health technology and integrated solutions business.

Our Culture and Values

At Amplify Health, we believe in fostering a culture that embodies the spirit of Courageous Entrepreneurs. We are passionate and innovative individuals who continuously strive to push boundaries and think outside the box. We understand that calculated risks are essential for driving progress, and we view failures as valuable opportunities to learn and grow.

As Outstanding People, collaboration, learning, and growth are at the core of our values. We trust and rely on each other, working together as a unified team to achieve our goals. When success comes our way, we celebrate it as a collective achievement, and we are committed to improving and excelling together.

We firmly believe in the mantra of Discuss, Decide, Do. Listening is fundamental in our decision-making process, and we act promptly, ensuring accountability in everything we do. Simplicity is the key to our efficiency, and we get things done quickly and effectively while being guided by facts and understanding.

At the heart of our pursuits lies a Lasting Impact. We prioritize the needs of our customers, and we are crystal clear about the problems we are solving for them. Progress is our north star, and while we strive for excellence, we acknowledge that perfection is a journey, and we remain focused on delivering excellent products that make a tangible difference.

If you are a passionate and innovative individual who thrives in a collaborative environment, where courage is celebrated, and customer focus is paramount, we invite you to join our team. Together, we will shape the future with our unwavering commitment to excellence and the determination to make a lasting impact in the industry.

How you would make a difference

• Lead development and production deployment of enterprise-level analytic data products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
• Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
• Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
• Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends.
• Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner, and empathetically and actively listening to other's thoughts and ideas.
• Partner with data management & information security colleagues to ensure the protection of highly sensitive datasets.
• Maintain relationships with partner teams to ensure needs are met and impacted areas plan work accordingly.
• Present analysis and recommendations to help influence strategic decisions.
• Lead and take action, inspire and motivate others, and be effective at influencing team members.
• Guide and coach team members, focusing on individual's professional development as well as overall team health and technical proficiency.

• Preferably 10+ years of work experience building, managing, and leading high-performing, diverse, collaborative, and geographically distributed data engineering teams.
• Demonstrated ability as a strategic technical partner, working collaboratively with data analytics, data science, product, engineering, and other cross-functional partners, to plan, prioritize, and achieve company goals.
• Experience starting, leading, and evolving technical forums, with effective soft skills, as well as representing data engineering and architectural considerations in cross-team settings.
• Experience developing and nurturing data engineering talent, including implementing training, upskilling, and mentorship plans.
• Expert-level engineering, architecture, and system design knowledge, with strong computer science fundamentals.
• Experience developing efficient and scalable production software in Python, Java, or other programming languages commonly used in data engineering.
• Understanding of event-driven and/or streaming workflows with tools like Kafka and Spark Aptitude with ETL concepts and tools, including experience ingesting, processing, and transforming a variety of data at scale Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics databases Experience with some of the following tools & platforms (or similar): Azure (ADLS, ADF, AKS, Synapse, Purview), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, MLFlow Knowledge and experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Datalakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization.
• Excellent written and oral communication skills, with a demonstrated ability to communicate complex concepts to a wide range of audiences.
• Ability to thrive in a fast-paced, agile, and dynamic environment, while exuding a can-do attitude Ability to handle multiple concurrent projects while working independently and in teams of all sizes with representatives from a diverse set of technical backgrounds.
• Bachelor's or master's degree in computer science or equivalent; team leadership and management training is a plus.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.