Strategic Data Architect

Job Title: Data Architect

We are seeking a strategic and technically adept data architect to join our team. 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.

Key Responsibilities:

• 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.

What Success Could Look Like in Your First 6 Months:

• 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.

RequirementsKnowledge 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.

About Our Organization:

Our organization is dedicated to promoting workforce development and competitiveness. We aim to create a strong, inclusive Singaporean core by providing support to businesses and workers alike.

Why Join Us?

• Be at the heart of our data transformation — design the platform that will empower us to make smarter, faster decisions.
• Influence organizational decision-making — provide expert guidance on data architecture to senior management directly impacting our 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.

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