Data Platform Architect (Data Fabric / Lakehouse)

Coditude; Pune District; On-site; INR 7,000,000 - 9,000,000; Full time

Job summary

Coditude is hiring a Data Platform Architect to own the end-to-end data platform, starting on Azure and migrating to Snowflake. You will define the lakehouse/data fabric blueprint, validate it against pilot use cases, and set standards for data modeling, governance, and security across IT/OT/IoT sources.

The role involves coordinating with data engineering, GraphDB, and MLOps streams. The candidate will drive phased roadmaps and enable AI/analytics layers on a solid data foundation, ensuring

Qualifications

• Proven experience architecting data lakehouse or data fabric end to end.
• Deep hands-on Azure data stack experience (Data Lake, Synapse / Fabric, Data Factory).
• 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.
• Knowledge of GraphDB / knowledge graph concepts for topology and ontology.
• Governance, lineage, and audit-trail design experience.

Responsibilities

• Owns end-to-end architecture of Data Platform from Azure to Snowflake.
• Define lakehouse / data fabric blueprint and pilot validation.
• Set standards for modeling, security, lineage, and access-control.
• Review designs from data engineering, GraphDB, and MLOps workstreams.
• Plan phased roadmap for AI capabilities atop the data foundation.

Skills

End-to-end architecture

Azure data stack

Snowflake

Data modeling

IoT/OT integration

GraphDB knowledge graphs

Governance & lineage

Tools

Azure Synapse / Fabric

Data Factory

Snowflake

GraphDB

Job description

Data Platform Architect (Data Fabric / Lakehouse)

12+ years overall, with 4+ years architecting data platforms (lakehouse / data fabric).

Full-Time

Role summary

Owns the end-to-end architecture of the Data Platform, starting on Azure and moving to Snowflake. Defines the lakehouse / data fabric blueprint, validates it against the initial pilot use cases, and sets the standards that every downstream engineer builds against. This person is accountable for the platform holding up as IT, OT, and IoT sources are onboarded and as GraphDB and MLOps layers are introduced in later phases.

Key responsibilities

• 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.

Must-have skills and experience

• 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.

Nice to have

• 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.

Required Skills

MLOps platform requirements familiarity Snowflake Agentic AI / advanced analytics roadmap Lakehouse/data fabric architecture Azure data stack