Data Platform Architect - AI & Data (Snowflake/Databricks)

About the role

Deloitte Government and Public Services is looking for a Data Platform Architect in Singapore to act as its technical authority for data platform engagements on Snowflake and/or Databricks. The role spans technical leads owning detailed architecture and delivery, up to enterprise architects who set target-state designs and advise CxO stakeholders. It covers lakehouse, data mesh and data warehouse modernisation, and connects data platforms to AI/ML, GenAI and agentic workflows within Singapore's regulated public-sector environment.

Key responsibilities

• Lead client conversations on data strategy, target-state architecture and platform modernisation, advising CxO and senior public-sector stakeholders and supporting delivery leads and workstreams
• Design enterprise and solution architectures for modern data platforms on Snowflake and/or Databricks, from detailed technical design and sprint plans to enterprise-level target-state architecture
• Define the architecture connecting data pipelines to AI/ML, GenAI and agentic workflows (e.g. Snowflake Cortex, Databricks Mosaic AI, MLflow, vector search, RAG, AI agents), applying the Trustworthy AI framework
• Validate architectures against Singapore public-sector technology and security requirements, including the Singapore Government Tech Stack, Government Data Architecture, GCC and IM8 security policy
• Own technical governance: architecture reviews, standards, reusable accelerators and reference architectures aligned with government standards
• Manage and mentor Data Platform Engineers, and shape proposals and tender responses
• Act as escalation point for complex technical risk and mentor the Data Platform capability

Required profile

• 7-10 years in data architecture/engineering, including an enterprise or solution architect role, preferably in consulting or systems integration
• Experience delivering data or technology programmes for government or highly regulated clients is highly valued
• Track record designing or delivering data platform, data warehouse or lakehouse modernisation programmes
• Client-facing consulting skills: workshops, executive communication, proposal writing, commercial awareness
• Experience managing delivery timelines, technical risk and an engineering team
• Enterprise/solution architecture credentials (e.g. TOGAF) and relevant certifications are an advantage

Required skills

• Demonstrated hands-on depth in Snowflake and/or Databricks (architecture, performance/cost, security and governance)
• Understanding of how modern data platforms enable AI/ML, GenAI and agentic use cases (feature engineering, model serving, RAG, vector databases)
• Cloud platforms and native data services; AWS experience strongly preferred, Azure or GCP also welcome
• Familiarity with SGTS, GDA, GCC and IM8 security policy