Data Architect [DSAD]

Job description

[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.

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.

Required Skill Profession

Computer Occupations