DATA & GOVERNANCE ARCHITECT - DIGITAL SERVICES & TECHNOLOGY OFFICE

Public Service Division; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Ngee Ann Polytechnic is seeking a Data Architecture Lead to design, implement, and govern the NP Enterprise Data and AI platform. You will ensure scalability, security, and alignment with enterprise standards while embedding data governance and quality across all layers.

The role emphasizes RBAC, lineage, encryption standards, and PDPA/GDPR compliance, collaborating with multiple schools, departments, and vendors to deliver robust data capabilities for analytics and teaching needs.

Qualifications

• 4–8 years in data architecture, governance, or related fields.
• Cloud-native data platforms experience required or preferred.
• Regulatory compliance and data governance familiarity required.

Responsibilities

• Lead end-to-end architecture design for NP data Lakehouse.
• Translate business requirements into architecture specifications.
• Define standards for integrating structured/unstructured sources.
• Architect and guide AI/ML and LLM integrations (e.g., Mosaic AI, Vector Search).
• Collaborate with Data Engineers and governance teams to ensure security and compliance.

Skills

Data architecture

Data governance

Stakeholder management

Tools

Databricks

Snowflake

BigQuery

Job description

[What the role is]

Responsible for the design, implementation, and governance oversight of the overall technical architecture of the Ngee Ann Polytechnic (NP) Enterprise Data and AI platform scalability This role ensures the platform’s technical architecture is scalable, secure, and aligned with enterprise standards while embedding data governance, lineage, and quality practices across all layers.

This is a 2-year contract position with the Digital Services & Technology Office.

[What you will be working on]

Reporting to the Programme Manager of NP Data and AI platform, you will collaborate with various stakeholders, including respective schools and departments, and outsourced vendors) and will be responsible in the following areas of work:

Architecture

• Lead the end-to-end architecture design for NP data Lakehouse and ensure detailed design and development is aligned with the enterprise architecture.
• Translate business requirements, including application resiliency requirements, governance requirements, into application architectural specifications.
• Design ingestion pipelines, medallion model (Bronze → Silver → Gold), and storage strategy in Delta Lake.
• Define standards for integrating structured/unstructured sources (DBs, APIs, SharePoint, PDFs).
• Architect and guide implementation of AI/ML and LLM integrations (Mosaic AI, Vector Search, Genie).
• Ensure system scalability, performance optimization, and resilience.
• Develop and maintain architecture guidelines, design patterns, and technology standards for the enterprise data platform.
• Review solution designs produced by Platform & Security Engineers and Data Engineers and vendors, ensuring consistency with architectural principles.

Governance

• Design and implement RBAC, lineage, tagging, and classification using tools such as DataBricks Unity Catalog.
• Define encryption/tokenization standards and oversee secure views for Personally Identifiable Information access.
• Ensure platform with compliance frameworks (PDPA/GDPR, HIPAA, PCI DSS).
• Establish policies for data quality monitoring (Delta Live Tables expectations).

Collaboration

• Work with Data Engineers to implement pipelines and secure data flows.
• Work with Data and AI Analyst to align stakeholders’ requirements with Lakehouse design and governance.
• Partner with Platform & Security Engineer to enforce encryption and key management.
• Collaborate with engineering, governance, ICT School, and business units to ensure architectural designs support teaching needs, analytics requirements, and institutional priorities.

[What we are looking for]

• 4–8 years in data architecture, governance, or related fields.
• Proven experience in cloud-native data platforms (Databricks, Snowflake, BigQuery, or similar).
• Background in regulatory compliance and data governance frameworks.

Skills & Certifications

• Certifications:
• Technical Skills:
• Other Skills:

Attributes

• Strategic and meticulous.
• Able to bridge business, compliance, and technology needs.
• Strong leadership and stakeholder management.
• Risk-aware, compliance-focused, and adaptable