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

About the role

Deloitte is hiring a Data Platform Engineer in Singapore for its Government and Public Services practice. The engineer builds and operates the data pipelines and platform components that underpin data engagements on Snowflake and/or Databricks, covering hands-on delivery through to detailed technical design and day-to-day technical leadership within a delivery team. The role is hands-on, with a strong focus on reliability, data quality and client security and data-handling requirements.

Key responsibilities

• Build and maintain batch and streaming data pipelines that ingest data into Snowflake and/or Databricks
• Design and implement data models, transformations and data quality checks (e.g. dbt, Spark, SQL)
• Configure orchestration, scheduling and monitoring (e.g. Airflow, ADF, Databricks Workflows, Snowflake Tasks/Streams)
• Implement access controls, security configuration and cost/performance optimisation, including client-specific compliance such as GCC deployment patterns, the SHIP-HATS CI/CD toolchain and IM8 security policy controls
• Structure and expose clean, documented data products supporting AI-driven and agentic workflows (feature stores, vector databases, APIs used by LLM-based tools)
• Apply Deloitte and government reference architectures, flagging gaps or conflicts to the Data Platform Architect
• Troubleshoot pipeline issues and act as the day-to-day technical point of contact for the delivery team
• Write clean, tested, version-controlled code and documentation, following CI/CD practices

Required profile

• 3-10 years in a data engineering and/or technical leadership role with hands-on delivery experience on Snowflake and/or Databricks
• Strong SQL and Python skills
• Experience with ELT/ETL tooling (dbt, Fivetran, Airbyte) and orchestration tools (Airflow, ADF, Databricks Workflows)
• Familiarity with cloud environments (AWS is a plus; Azure or GCP also acceptable)
• Understanding of data modelling concepts (dimensional modelling, medallion architecture) and version control
• Comfortable working with reference architectures and with clients or in client delivery teams

Preferred qualifications

• Certifications such as SnowPro Core/Advanced, Databricks Certified Data Engineer Associate or Professional, or a cloud architecture certification (AWS preferred)
• Exposure to plugging data pipelines into AI services or agentic workflows
• Exposure to Singapore's public-sector technology environment (GCC, IM8, SHIP-HATS)