Data Platform Architect (Data Fabric / Lakehouse)
Pune · Staff/Principal
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Job description
- Design the target data fabric / lakehouse architecture on Azure, with a clear migration path to Snowflake.
- Define ingestion, storage, processing, governance, and consumption layers, including how GraphDB fits for asset topology and ontology.
- Validate the architecture against one to two priority pilot use cases before broad rollout.
- Set data modeling, security, lineage, and access-control standards across all sources.
- Establish the reference patterns for IT / OT / IoT integration and hand them to the integration engineers.
- Review designs from data engineering, GraphDB, and MLOps workstreams for consistency with the platform blueprint.
- Plan the phased roadmap so agentic AI capabilities can be layered on once the data foundation is stable.
- Proven experience architecting data lakehouse or data fabric platforms end to end.
- Deep hands-on Azure data stack experience (Data Lake, Synapse / Fabric, Data Factory, or equivalent).
- Snowflake architecture and migration experience.
- Strong data modeling across relational, document, time-series, and graph paradigms.
- Experience integrating heterogeneous IT / OT / IoT sources at enterprise scale.
- Working knowledge of GraphDB / knowledge graph concepts for topology and ontology.
- Governance, lineage, and audit-trail design experience.
- Exposure to intelligent building management or industrial OT environments.
- Familiarity with MLOps platform requirements.
- Experience planning for agentic AI or advanced analytics on top of a data platform.
- Proactive and self-driven, able to take ownership and move work forward without waiting to be told.
- AI-enabled in day-to-day work, comfortable using AI tools and copilots to accelerate delivery and quality.
- Strong self-learner who stays current with evolving tools, platforms, and practices.
- Good team player who collaborates well across engineering, operations, and stakeholder groups.
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