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Principal Data Platform Architect
Successfully
Req. VR-121452
We are seeking a highly experienced Principal Data Platform Architect with deep expertise in Palantir Foundry and Databricks to lead the strategic design, migration, and optimization of our enterprise data ecosystem.
This role will be responsible for driving the transition of data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture, ensuring data integrity, governance, performance, and long-term platform sustainability.
The ideal candidate combines strong architectural leadership with hands-on expertise in PySpark, SQL, and cloud-based data platforms. You will work closely with data engineering, DevOps, and business stakeholders to modernize the platform, establish enterprise best practices, and deliver a seamless, secure, and high-performance migration.
Define and execute the end-to-end migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks.
Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL.
Implement validation frameworks to ensure complete data accuracy, consistency, and lineage throughout the migration process.
Optimize Spark workloads, cluster configurations, and storage strategies to ensure high performance and cost-efficient operations in Databricks.
Collaborate with data engineers, platform teams, and business stakeholders to minimize migration risk, ensure smooth cutover, and maintain production stability.
Must have
Strong Hands-on Expertise in Palantir Foundry. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance.
Advanced Databricks Experience. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning.
Proven Migration Experience (Palantir → Databricks). Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover.
Expert-Level PySpark & Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows.
Advanced SQL & Data Modelling Expertise. Experience in dimensional modeling, lakehouse architecture patterns, and query optimization.
Cloud Platform Experience (Azure preferred). Hands-on experience deploying and managing data platforms in cloud environments, including storage, security, and networking considerations.
Nice to have
Understanding of the Investment Data Domain.
Familiarity with Dynatrace or Datadog for system observability and monitoring.
Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications.
Languages
English: C1 Advanced
Seniority
Senior
*The acquisition of rights to the above benefits depends on the form of cooperation. Benefits apply to those employed under a contract of employment.
**Please note that relocation is not available for all open positions. At Luxoft Poland it is possible to work remotely only from the territory of Poland.
***Options offered by the Polish government.
Krakow, Poland
Req. VR-121452
Other Consulting
BCM Industry
04/03/2026
Req. VR-121452
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