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.