Senior Data Platform Architect - Palantir Foundry & Databricks Integration

📋 Description

• Design and implement enterprise-scale federated architectures integrating Palantir Foundry and
• Establish standards for data sharing across Foundry, Databricks, BigQuery, and Cloud Storage
• Define architecture patterns leveraging Delta Lake, Apache Iceberg, Unity Catalog, Foundry
• Lead the modernization of legacy ETL architectures toward metadata-driven, cloud-native data
• Define enterprise data governance, lineage, metadata, and ownership models across both platforms.
• Create architectural roadmaps supporting AI, machine learning, real-time analytics, and

🎯 Requirements

• 10+ years of experience in Data Engineering, Data Architecture, or Platform Engineering.
• 5+ years of experience with Databricks Lakehouse Architecture.
• Experience implementing or operating Palantir Foundry data platforms.
• Deep expertise in Databricks, PySpark, Spark SQL, Delta Lake, Python, and Data Modeling.
• Strong knowledge of Unity Catalog, Apache Iceberg, Lakehouse Architectures, Data Governance, and
• Hands-on experience with Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, IAM

🎁 Benefits

• The salary range offered for this position varies from (USD) $6,000 - $7,000 per month, depending
• This position is for a full time contract, through a payroll platform.
• The talent will work remotely allocated at our client.