Big Data Architect

About the role

Architect, design, and optimize large‑scale data platforms using Databricks, Snowflake, and modern lakehouse patterns. Provide deep hands‑on technical leadership while partnering with pre‑sales teams to shape scalable, cost‑efficient solutions. Build proofs‑of‑concept as an individual contributor to validate architectures and demonstrate value.

What you'll do

• Define end‑to‑end architecture for enterprise data platforms across Databricks, Snowflake, and cloud ecosystems, ensuring scalability, performance, governance
• Design and implement ingestion, transformation, and compute optimization frameworks using Spark, SQL, Delta Lake, and platform‑native capabilities
• Develop standards for data modeling, data quality, medallion architecture, and workload orchestration, collaborating closely with data engineering, analytics
• Partner with pre‑sales and solutioning teams to qualify use cases, shape solution architecture, estimate workload sizing
• Evaluate new capabilities in Databricks, Snowflake, and cloud services; drive platform modernization, automation, observability, and best‑practice adoption across teams

What you need

• 12–22 yrs of experience
• Machine learning
• SQL
• Python
• Databricks
• Snowflake
• Spark
• Any graduate

Good to have

• Data modelling
• AWS
• Data warehousing
• ETL
• CI/CD
• GCP

What you get

• ₹45 L–₹50 L a year