143 Data Architect jobs in Singapore

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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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• 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

We are representing our client in the global technology and engineering sector to look for an experienced Data Architect to lead the design and governance of the enterprise data architecture. This role requires a strong understanding of data platforms, cloud infrastructure, and integration tools.As a key technical leader, you will work closely with cross-functional teams to ensure the data architecture aligns with business goals and supports current and future data-driven initiatives.Responsibilities

• Define and drive the organization’s enterprise data architecture strategy, standards, and best practices.
• Design scalable, secure, and maintainable data architectures across structured, semi-structured, and unstructured data sources.
• Provide architectural leadership in the implementation of data virtualization solutions using Denodo.
• Enable advanced analytics and machine learning workflows through platforms like Dataiku, ensuring integration and performance across data environments.
• Architect and optimize pipelines for handling multimedia content, including video/audio processing using tools such as FFmpeg or similar.
• Lead data modeling, metadata management, and data governance efforts.
• Collaborate with data engineers, developers, analysts, and business stakeholders to translate requirements into robust data architecture solutions.
• Evaluate and recommend new tools, technologies, and frameworks that align with business and technical needs.
• Ensure compliance with data security and privacy regulations.

• Minimum 6 years of experience in data engineering/architecture roles, with a strong foundation in enterprise data systems.
• Proven experience designing and implementing data architectures in complex, large-scale environments.
• Strong hands-on experience with Denodo (or equivalent data virtualization platforms).
• Familiarity with Dataiku or similar advanced analytics/machine learning orchestration platforms.
• Working knowledge of FFmpeg for media processing pipelines, or comparable experience with multimedia data handling.
• Deep expertise in data modeling, data warehousing, and data integration patterns.
• Solid understanding of cloud data platforms (AWS/GCP/Azure) and modern data stack tools (e.g., dbt, Kafka, Airflow).
• Strong problem-solving and communication skills, with the ability to bridge business and technical conversations.

About Us

TikTok is a leading short-form mobile video destination. Our mission is to inspire creativity and bring joy.

Job Overview

We're seeking a skilled software engineer to join our Data Management Suite team. As a key member of this team, you'll design and develop one of the largest data platforms in the world, gaining hands-on experience with core systems in the data platform ecosystem.

Responsibilities

• Design and implement a unified data development platform that improves globalization data producers' efficiency, including intelligent IDEs, workflow management, and multiple engine integration.
• Develop efficient ways to manage distributed states and sync metadata between centralized places and regions globally.
• Create a high-performance, distributed scheduling system that manages large-scale tasks across different business lines in ByteDance.
• Collaborate with partner teams worldwide.

Qualifications

Minimum Requirements:

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3+ years of software development experience, including data structures and algorithms.
• Experience with design, architecture, testing, and launching software products.
• 2+ years of data management systems experience, including big data development platforms, data catalog platforms, or data transfer platforms.

Preferred Qualifications

• 3+ years of experience building large-scale infrastructure, distributed systems, or networks, as well as compute technologies, storage, and hardware architecture.
• Experience working in complex matrixed organizations involving cross-functional and cross-business projects.

Benefits

• Positive team atmosphere.
• Career growth opportunities.
• Paid leave.
• Meals provided.
• Competitive compensation.

About the Role

TikTok's experimental platform, Libra, is a cutting-edge online tool designed to provide comprehensive evaluation services for various product lines. As a data engineer on this team, you will be responsible for maintaining the data system and ensuring seamless experimentation operations.

Responsibilities

• Ensure data warehouse design, modeling, and development meet high standards.
• Construct and manage large-scale ETL data pipelines and automated systems.
• Develop an expert system for metric data processing, combining offline and real-time capabilities.

Requirements

• Bachelor's degree in Computer Science or a related field.
• Proficiency in big data frameworks such as Presto, Hive, Spark, Flink, Clickhouse, Hadoop.
• At least one year of experience in Data Engineering.
• Expertise in languages like Java, Scala, SQL, Python.

Preferred Qualifications

• Knowledge of strategies for ingesting, modeling, processing, and persisting data.
• Experience with designing, analyzing, and troubleshooting large-scale distributed systems.

Benefits

• Collaborative team environment.
• Career growth opportunities.
• Meals provided.

• Partner with business analysts to understand and shape data requirements for fraud or investigative systems.
• Architect end-to-end data strategies, from source acquisition and cleansing to storage, preparation, and analytics delivery.
• Convert functional needs into technical deliverables across ETL, engineering, and reporting layers.
• Design and manage real-time and batch ingestion workflows into SAS platforms or large-scale data lakes.
• Build and maintain robust data pipelines, orchestration layers, and visualization components using SAS Viya , DS2 , Python , and other tools.
• Coordinate testing, integration, and support activities, including UAT and post-deployment maintenance.
• Lead documentation efforts and contribute to overall data governance, metadata, and quality frameworks.
• Troubleshoot complex data issues and track project progress against delivery milestones.

• Minimum 10 years of experience in data architecture, analytics platforms, or BI/data warehouse implementations.
• Delivered at least 5 full-scale projects involving fraud detection, surveillance systems, or case/investigation platforms.
• Strong hands-on capabilities in:
  SAS Viya , SAS DS2 , and SQL
  Python , Spark , JSON , XML
  Linux , job orchestration tools , and real-time technologies like Kafka or SAS ESP
  Postman , SOAPUI , REST APIs , and CI/CD frameworks (DevOps / DataOps )
• Familiar with:
  Data modeling, source-to-target mapping, real-time processing design
  Metadata and data lineage tools, orchestration frameworks
• Experience with SAS Intelligent Decisioning, RTDM, PEGA, or similar decision management tools is advantageous.
• Prior involvement in public sector, government, or regulatory environments is preferred.
• Strong communication and stakeholder alignment skills; capable of leading technical teams.
• Bachelor's degree in a relevant discipline such as Computer Science, Information Technology, or Statistics

• 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.

• Extensive experience with AWS services, particularly AWS Lake Formation, AWS Glue, and AWS S3.
• 7-10+ 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.

We are seeking a Senior Data Engineer to join our team. As a key member of our data engineering group, you will be responsible for designing, building, and maintaining large-scale data pipelines.

Our ideal candidate has a strong background in big data technologies, including Hadoop, Spark, and NoSQL databases. They should also have experience with data management, ETL, and data quality.

• Design, develop, and maintain large-scale data pipelines using industry-standard tools and mechanisms.
• Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
• Develop and maintain documentation for data pipelines and other related systems.
• Identify areas for process improvement and implement changes as needed.

The following are some of the key responsibilities of this role: