266 Data Architect jobs in Singapore

**Job Description**

We are seeking a talented individual to join our team as a Data Engineer . As a key member of our organization, you will play a crucial role in designing and implementing large-scale recommendation systems.

Your primary responsibility will be to develop and maintain the architecture for our recommendation system, ensuring it is stable, scalable, and provides the best experience for our users.

You will work closely with our cross-functional team to identify opportunities for improvement and implement solutions that drive impact.

This is an exciting opportunity to join a dynamic team and contribute to the success of our organization.

This position involves designing and implementing offline data architectures for large-scale recommendation systems, developing flexible and scalable storage and computing systems, and troubleshooting production systems.

You will also build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems.

Furthermore, you will develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.

This role requires strong coding and troubleshooting abilities, as well as the willingness to challenge questions that have no obvious answers and a strong enthusiasm for learning new technologies.

• Bachelor's degree or above in computer science, software engineering, or a related field
• Familiarity with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.
• Strong coding and trouble shooting ability
• Familiarity with Java, C++ and other programming languages
• Experience of Peta Byte level data processing is a plus
• At least 3 years of relevant experience

We offer a range of benefits, including a competitive salary, comprehensive health insurance, retirement plan, paid time off, and opportunities for professional growth and development.

We strive to create a diverse and inclusive workplace where everyone feels valued and empowered to succeed.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

• Design, implement, and optimize robust data pipelines and ETL/ELT workflows using SQL and Python.
• Lead architecture discussions, including the creation and review of ERDs and overall system design.
• Collaborate closely with Data Engineers, Analysts, and cross-functional engineering teams to meet evolving data needs.
• Build synchronous and asynchronous data APIs for downstream systems to consume the data.
• Deploy and manage infrastructure using Terraform and other Infrastructure-as-Code (IaC) tools.
• Develop and maintain CI/CD pipelines for deploying data applications and services.
• Leverage strong experience in AWS services (e.g., S3, Glue, Lambda, RDS, Lake Formation) to support scalable and secure cloud-based data platforms.
• Handle both batch and real-time data processing effectively.
• Apply best practices in data modeling and support data privacy and data protection initiatives.
• Implement and manage data encryption and hashing techniques to secure sensitive information.
• Ensure adherence to software engineering best practices including version control, automated testing, and deployment standards.
• Lead performance tuning and troubleshooting for data applications and platforms.

• Strong proficiency in SQL for data modeling, querying, and transformation.
• Advanced Python development skills with an emphasis on data engineering use cases.
• Hands-on experience with Terraform for cloud infrastructure provisioning.
• Proficiency with CI/CD tools, particularly GitHub Actions.
• Deep expertise in AWS cloud architecture and services.
• Demonstrated ability to create and evaluate ERDs and contribute to architectural decisions.
• Strong communication and leadership skills with experience mentoring engineering teams.

• Experience with big data technologies such as Apache Spark, Hive, or Kafka.
• Familiarity with containerization tools (e.g., Docker) and orchestration platforms (e.g., Kubernetes).
• Solid understanding of data governance, data quality, and security frameworks.

Thakral One is looking for a Data Architect to lead data architecture design and modernization initiatives in core banking. The role involves shaping scalable, secure, and high-performance data solutions across SQL/NoSQL systems, data lakes, and cloud platforms, while ensuring governance and compliance. Ideal candidates bring deep expertise in system integration, ETL frameworks, and banking data domains, with strong communication and stakeholder management skills.

• Lead thedata architecture design for core banking modernization initiatives
• Provides consultancy and advisory services for system integration, PoC, and impact analysis
• Conduct an in-depth analysis of system performance and identify any potential bottlenecks that may hinder optimal performance
• Effectively convey solution designs to diverse teams, and provide hands-on documentation or training sessions as necessary
• Define and implementdata lake integration strategies to centralize and streamline data access
• Collaborate with cross-functional teams (Engineering, DevOps, Product, and Business) to align data models with business needs
• Design scalable, secure, and high-performancedata pipelines and ETL frameworks
• Ensure data governance, lineage, and quality across all systems
• Evaluate and recommend modern data technologies, tools, and platforms
• Support migration from legacy systems to cloud-native or hybrid data platforms
• Create and maintainarchitecture documentation , standards, and best practices

• Proven experience or certifications on the following skillsets–Messaging, container implementation, container orchestration, multi-tier application architecture, monitoring tools, and collaboration tools
• Experience in quotation of solutions, differentiating CAPEX and OPEX concepts and evaluating different options to find the most cost-effective solution
• A deep technical understanding required to source infra resources ranging from on-premises to cloud. Should be familiar with architect best practices, but also be flexible to adapt to the team’s established practices and environment
• Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
• Experience in various SQL and NoSQL databases (Oracle, MongoDB, Cassandra, PostgreSQL, MySQL)
• Proven experience inmodernizing legacy banking systems and core banking platforms
• Strong expertise indata lake architecture (e.g., Azure Data Lake, AWS Lake Formation, Google Big Lake)
• Hands-on experience withdata modeling, ETL/ELT, and real-time data streaming (e.g., Kafka, Spark, Flink)
• Proficiency inSQL, Python, or Scala for data engineering tasks
• Familiarity withcloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes)
• Deep understanding ofdata governance, security, and compliance (e.g., MAS, GDPR, PCI-DSS)
• Experience working withbanking data domains such as payments, loans, deposits, and customer 360
• Excellent communication and stakeholder management skills

Thakral One is a consulting and technology services company headquartered in Singapore, with a pan-Asian presence. We focus primarily around technology-driven consulting, adoption of value-added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. We are heavily inclined towards building capabilities collaboratively with clients and believe strongly in improving grounded and practical outcomes. This approach is possible through our partnership with leading global technology providers and internal R&D teams. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.

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Join to apply for the Data Architect role at IBM

2 days ago Be among the first 25 applicants

A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Design the AWS datalake architecture and develop a robust integration framework that supports efficient data ingestion and processing.

• Architect scalable AWS datalake solutions to meet technical and business needs.
• Design data integration pipelines for diverse data sources.
• Collaborate with technical teams to ensure secure, compliant data flows.
• Document the overall data architecture supporting catalog, quality, and lineage initiatives.

Bachelor's Degree

• Extensive experience with AWS services, particularly AWS Lake Formation, AWS Glue, and AWS S3.
• 8-10+ years in data architecture or similar roles.
• Proficiency in designing and integrating cloud-based data solutions.
• Understanding of data security and compliance standards, especially for public sector projects.

Not Applicable

Full-time

Engineering and Information Technology

IT Services and IT Consulting

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• Design and deliver a scalable data lake architecture to support advanced analytics and cross-business reporting
• Define data ingestion strategies from legacy and modern systems across multiple markets and business units
• Ensure interoperability with enterprise platforms via APIs and standard protocols

• Standardize and consolidate data across disparate systems
• Implement robust data transformation pipelines to ensure clean, accurate, and accessible data
• Collaborate with infrastructure and application teams to ensure seamless data flow

• Define and implement governance policies including data lineage, access control, and regulatory compliance
• Champion data ownership and stewardship in collaboration with business stakeholders
• Ensure data privacy and security protocols across regions

• Partner with business, product, and IT teams to align data architecture with operational goals
• Translate complex business needs into scalable technical solutions
• Support regional nuances while designing a globally consistent data framework

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field
• 15+ years’ experience in data architecture, including leading enterprise-wide data platforms and lakes
• Expertise in modern cloud-based ecosystems (AWS, Azure, GCP), ETL frameworks, and data modeling
• Familiarity with data governance tools (e.g., Collibra, Alation) and security best practices
• Strong cross-functional and international collaboration experience, ideally in matrixed or PE-backed settings
• Exceptional stakeholder management and communication skills

Onsite | West Singapore

Build the data engine that powers tomorrow’s factory.
We’re hiring a Data Architect to lead large-scale data infrastructure projects — from modeling and pipelines to compliance and analytics. If OLTP-to-OLAP flows and real-world impact excite you, this one’s for you.

• Design and implement scalable enterprise data architecture
• Build and maintain data lakes, warehouses, and end-to-end data pipelines
• Own OLTP to OLAP flows — from raw operational data to business insights
• Develop robust data models to support analytics, reporting, and operations
• Ensure data compliance (GDPR and others) and enforce governance practices
• Collaborate with cross-functional teams to align data strategy with business needs
• Identify gaps in existing systems and propose scalable solutions
• Document architecture, pipelines, and best practices clearly and consistently

• Degree in Computer Science, IT, or equivalent
• 13+ years in data architecture, data engineering, or enterprise systems
• Strong in data modeling, database design, and building scalable pipelines
• Hands-on with SQL, Python, Java, C++
• Experience with cloud data platforms, ETL tools, and large-scale systems
• Deep understanding of GDPR and enterprise-level data compliance
• Great communicator who can align business and technical teams

Join to apply for the Data Architect role at Internal Security Department

1 week ago Be among the first 25 applicants

Join to apply for the Data Architect role at Internal Security Department

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ISD confronts and addresses threats to Singapore’s internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure and sovereign for all Singaporeans.

ISD utilises state-of-the-art technology and technical know-how to safeguard Singapore’s internal security, stability, and sovereignty. We are seeking highly motivated Data Architects to design, build, and administer a powerful data science and analytics ecosystem that enables the organisation to extract insights from voluminous data and make data-driven decisions.

We are hiring for Data Architect roles in the software engineering field. Those without relevant working experience are welcome to apply as long as they are able to demonstrate relevant knowledge and an ability to pick up the required skills quickly.

You will be supported by a team of highly technical and collaborative colleagues, and have opportunities for advanced training, like attending leading overseas conferences and courses. You will also have many opportunities to work on challenging, diverse and unique problem statements.

Our team’s flagship product is built on the following web stack technologies: Linux servers, nginx, Oracle database, Spark, Hive, Impala, HBase, Elasticsearch, Cloudera Machine Learning, Flask, FastAPI, Celery, RabbitMQ, Ansible, ArcGIS, and Svelte.

We are looking to expand our stack to include: DuckDB, graph databases, data virtualisation, and containerisation.

Depending on your level of experience, you will be helping to:

• Design, develop, deploy, administer and/or maintain (portions of) this tech stack, or solutions based off it.
• Recommend, evaluate, adopt, integrate and/or build on new open-source and commercial tools.
• Engage end users, data analysts, data scientists, data engineers and project managers in the planning, development and delivery of solutions.
• Lead projects, mentor juniors, make technical decisions, and/or formulate strategies.

• Someone passionate about software architecture (and engineering) applied to the domain of data science and analytics.
• Self-motivated, open-minded, resourceful and meticulous candidates. Able to work independently and in teams.
• Ability to keep the overarching objectives and constraints of the project in mind while pursuing the technical details.
• Competent in at least one programming/scripting language (e.g. Python, Scala, JavaScript, bash). Interest and ability to gain expertise in other programming languages, frameworks and technologies.
• Familiarity with one or more database and its related querying languages (e.g. SQL, Query DSL, Cypher).
• Knowledge and experience with any of the following software engineering domains would be an advantage:
• Web development
• System administration
• Big data technologies
• Container technologies
• Data analytics, machine learning and artificial intelligence
• Only Singaporeans need apply

• Entry level

• Full-time

• Information Technology

• Government Administration and Industrial Machinery Manufacturing

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Get notified about new Data Architect jobs in Singapore, Singapore .

We are seeking a skilled Real-Time Computing Specialist to join our team. This role is responsible for designing and implementing real-time data systems for large-scale recommendation systems.

The ideal candidate will have a strong background in computer science and engineering, with experience in developing TB-level Flink real-time computing systems. Proficiency in programming languages such as Java, C++, Scala, and Python is required.

• Design and implement real-time data systems for large-scale recommendation systems.
• Create flexible, scalable, stable, and high-performance storage systems and computing models.
• Troubleshoot production system failures and design necessary mechanisms and tools to ensure overall stability of the production systems.

Qualifications:

• Proficient in programming languages like Java, C++, Scala, Python.
• Strong coding and troubleshooting skills.
• At least 5 years of relevant experience.
• Deep understanding of streaming computing systems, with formal production experience in developing TB-level Flink real-time computing systems.
• Experience in data lake development is preferred.
• Willingness to tackle problems without clear answers, with a strong passion for learning new technologies.

Benefits:

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy.

To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

This is a great opportunity to work with a talented team and make a meaningful impact on the company's success.