Data Architect [DSAD]

[What the role is]
We are seeking a strategic and technically adept Data Architect to join Workforce Singapore (WSG)’s Data Strategy and Analytics Division (DSAD). In this newly established role, you will design and shape the central data platform that will power our organization’s shift from manual reporting to scalable, automated insights. You will translate business needs into clear, future-proof data architecture — creating the foundation that analysts and decision-makers can rely on.

[What you will be working on]

• Design, document, and evolve the architecture of our central data platform to meet both immediate reporting needs and long-term business growth.

• Map data flows and define how data is collected, stored, transformed, and delivered for analysis and reporting.

• Work hand-in-hand with analysts and business users to understand their needs and help shape the tools and structures that enable them.

• Develop and maintain data models (conceptual, logical, and physical) that support business intelligence, self-service analytics, and automated reporting.

• Support the transition from manual, Excel-based processes to platform-driven, automated reporting pipelines.

• Guide technical choices for data storage, integration tools, and transformation workflows in partnership with IT and engineering teams.

• Contribute to data governance, quality assurance, and metadata management to ensure trust and consistency across the organization.

• Facilitate knowledge sharing and collaborate across a matrix reporting environment — working with both business and technical stakeholders.

What Success Could Look Like in Your First 6 Months:

When you join us, here’s how we imagine you’ll add value early on:

Current-State Data Landscape Mapped

• Conduct a structured review of existing data sources, data flows, and reporting pipelines.

• Document the current state, identify key pain points, and highlight areas for improvement — focusing on enabling a shift from manual reporting to platform-driven analytics.

Draft of Target Data Architecture Blueprint Proposed

• Translate business needs into a draft technical architecture that supports scalable, efficient reporting and analysis.

• Align this blueprint with the organization’s existing enterprise architecture principles and tools selected by the CIO’s office.

Tool Integration and Gap Assessment Completed

• Review the division’s business use cases against the capabilities of the current CIO-endorsed tech stack.

• Identify where the existing tools meet business needs, and highlight any potential gaps or areas where future enhancement or complementary solutions may be required.

• Provide structured recommendations for adoption, integration, or future-proofing, if any.

Data Models for Priority Use Cases Delivered

• Co-develop logical and physical data models for 2–3 priority reporting scenarios in collaboration with business users and analysts.

• Ensure these models lay the groundwork for future automation and self-service reporting.

Data Governance Starter Kit Proposed

• Draft a lightweight starter framework for data ownership, quality, metadata, and version control practices, tailored to the division’s needs.

• Facilitate early alignment conversations to ensure consistent data practices as the platform evolves.

Cross-Team Collaboration Practices Established

• Set up and lead regular technical and business syncs with analysts, IT teams, and business units to ensure the architecture design is both practical and future-ready.

• Lay the groundwork for long-term collaboration habits that support a data-driven culture.

[What we are looking for]

Knowledge and Skills:

• Proven experience in designing data architectures in dynamic environments, including cloud-based or hybrid data platforms.

• Strong knowledge of modern data tools and concepts, including:

  • Data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Synapse).

  • Data modeling techniques (star schema, snowflake schema, dimensional modeling).

• Familiarity with data integration tools and the ability to assess and adopt new tools as the platform evolves.

• Proficiency in SQL and one or more scripting languages (Python preferred).

• Ability to bridge business requirements with technical design, keeping both scalability and usability in mind.

Aptitudes and Abilities:

• Clear, thoughtful communicator — comfortable engaging both technical teams and non-technical business users.

• Experience navigating a matrix reporting structure and working across teams to drive alignment.

• A collaborative mindset and a genuine interest in shaping a strong data culture.

• Strong analytical mindset with an innate curiosity to make sense of complexity.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

About Workforce Singapore:

Workforce Singapore (WSG) is a statutory board under the Ministry of Manpower (MOM). It will oversee the transformation of the local workforce and industry to meet ongoing economic challenges.

WSG will promote the development, competitiveness, inclusiveness, and employability of all levels of the workforce. This will ensure that all sectors of the economy are supported by a strong, inclusive Singaporean core.

While its key focus is to help workers meet their career aspirations and secure quality jobs at different stages of life, WSG will also address the needs of business owners and companies by providing support to enable manpower-lean enterprises to remain competitive. It will help businesses in different economic sectors create quality jobs, develop a manpower pipeline to support industry growth, and match the right people to the right jobs

Why Join Us:

• Be at the Heart of WSG’s Data Transformation – design the platform that will empower WSG to make smarter, faster decisions.

• Influence Organisational Decision-making – provide expert guidance on data architecture to senior management directly impacting WSG’s strategic initiatives and operational efficiency.

• Drive Innovation in Data Management – lead initiatives to improve data literacy and analytics capabilities across the organization, promoting a culture that values data as a strategic asset.

• Advance Your Career – join a dynamic team committed to building meaningful data infrastructure from the ground up, providing opportunities for professional growth and development.