Senior Data Engineer - Palantir Job

About the role

As a Data Architect – Data Engineering , you will play a key role in shaping clients Life Science's modern data ecosystem that integrates Palantir Foundry , AWS cloud services , and Snowflake . Your responsibility will be to architect scalable, secure, and high-performing data pipelines and platforms that power advanced analytics, AI/ML use cases, and digital solutions across the enterprise.

What you'll do

• Design and maintain an integrated data architecture that connects Palantir Foundry , AWS services , and Snowflake , ensuring secure, scalable, and performant data access
• Define and govern enterprise-wide standards for data modeling, metadata, lineage, and security across hybrid environments
• Architect high-throughput data pipelines that support batch and real-time ingestion from APIs, structured/unstructured sources, and external platforms
• Collaborate with engineering, analytics, and product teams to implement analytical-ready data layers across Foundry, Snowflake, and AWS-based lake houses
• Define data optimization strategies including partitioning, clustering, caching, and materialized views to improve query performance and reduce cost

What you need

• 6–8 yrs of experience
• Machine learning
• SQL
• AWS
• ETL
• Python
• Snowflake
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Data modelling
• LLMs
• Redshift
• Data warehousing
• Airflow
• dbt