Design end-to-end data architecture covering medallion layers (Bronze/Silver/Gold), semantic layer, and business analytics layer.
Define data models, data contracts, governance frameworks, schema, and data warehouse design.
Ensure architecture supports diverse data types including IoT/telemetry, CCTV, and building system logs, and is ready for AI/ML workloads.
Coordinate with partners on inbound and outbound data interface frameworks and specifications.
Define governed data access for dashboards, APIs, and AI tools, including appropriate access controls and audit logging.
Assess available data to identify potential Data Science and ML use cases and inform data collection and architecture.
Ensure data architecture supports hypothesis testing, MLOps pipelines, and use case development.
Document key architectural and technical decisions, including rationale and trade-offs.
Work with internal teams to progressively transfer architecture and design capability.
Requirements
Degree in Computer Science, Engineering, or related field with 8+ years of data architecture experience.
Proven experience designing and building Bronze/Silver/Gold data architectures and semantic layers from the ground up, with hands-on AWS delivery using Databricks or Snowflake.
Experience with data contracts, governance frameworks, schema design, and automated data quality controls.
Experience leading data platform architecture at national or large and complex scale, including comparable international city-level or above projects beyond Singapore.
Experience ingesting diverse data types including IoT/telemetry, system logs, and image/video data.
Robotics data formats and sensor/field-equipment data streams experience is preferred.
Experience designing AI-ready data infrastructure for GenAI, LLM, or RAG use cases is preferred.