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1150 - Senior Data Platform Architect - Palantir Foundry & Databricks Integratio
GoFasti
Remote · worldwide, UTC+4 acceptedSalary not disclosedcontractNewVerified recentlyHimalayas
We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.
Responsibilities
- Design and implement enterprise-scale federated architectures integrating Palantir Foundry and Databricks.
- Establish standards for data sharing across Foundry, Databricks, BigQuery, and Cloud Storage environments.
- Define architecture patterns leveraging Delta Lake, Apache Iceberg, Unity Catalog, Foundry Ontology, Virtual Tables, and Catalog Federation.
- Lead the modernization of legacy ETL architectures toward metadata-driven, cloud-native data products.
- Define enterprise data governance, lineage, metadata, and ownership models across both platforms.
- Create architectural roadmaps supporting AI, machine learning, real-time analytics, and self-service data consumption.
- Design and implement Foundry Databricks Connector solutions, including bulk imports, incremental data synchronization, virtual tables, compute pushdown, and external model integrations.
- Build scalable ingestion, transformation, and enrichment pipelines using PySpark, Spark SQL, Python, Databricks Workflows, Airflow, and Foundry Code Repositories.
- Architect secure connectivity between Palantir Foundry, Databricks, Google Cloud Platform, BigQuery, Cloud Storage, and Enterprise APIs.
- Enable AI and machine learning workloads across Foundry and Databricks environments.
Languages
- Work format
- Remote
- Seniority
- Senior
- Posted
- 2 Oct 2026 (yesterday)
- Last verified
- 4 Oct 2026
- Apply by
- 1 Dec 2026