At Ideas2IT, Data Architects don't inherit broken pipelines and patch them in the dark. You'll design data platforms from the ground up – the kind of work we've done for companies like Meta, Bloomberg, and Medtronic, and for our own AI-native products that have spun off as VC-funded startups. If you've been craving work where your architecture decisions actually matter, where the data you move powers everything from enterprise AI platforms to personalized cancer treatment, this is that role.

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‍What you'll actually do as a Data Architect with us:

You'll own the full arc of data platform engineering, from whiteboard to production, across cloud environments at scale.

Design and build cloud-native data platforms on AWS, Azure, or GCP (and increasingly, across all three clouds)
Design and implement lakehouse architectures (bronze/silver/gold) that unify data lakes and warehouses for scalable analytics
Model data that balances clean abstraction with real-world query performance
Build and tune data warehouses: Redshift, Snowflake, Postgres, for analytics and reporting at scale




Design and build event-driven data systems and real-time pipelines
Define and enforce data governance practices including quality, lineage, cataloging, and access control to ensure trusted and secure data
Orchestrate workflows with Airflow or Dagster, because pipelines without orchestration are just scripts waiting to fail
Write production-grade Python for data processing, automation, and system integration
Translate stakeholder needs into technical specs and communicate them back without the jargon wall
Bring ML and data science awareness to your designs: you don't need to build the models, but you need to understand what they need
Optimize data platforms for cost and performance across cloud environments
Provide technical leadership and mentorship to data engineering teams, setting best practices and architectural standards

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Must-haves

Experience designing end-to-end data architectures and

📌 Data Architect (Chennai)
🏢 Idea Nuggets
📍 Chennai