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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Palantir Foundry Platform Administrator - **Company:** Blue Swan Technologies Inc - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, BigQuery, Data as a Services, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Warehousing, Identity and Access Management, Python (Programming Language), Neo4j, SQL Databases, Systems Integration, Talend, TypeScript, Enterprise Data Management, Azure Data Factory, Informatica Powercenter, Large Language Models, Snowflake, Data Lakes, Pyspark, AWS Glue, Data Management, Azure Synapse Analytics, Multiplatform, Amazon Redshift, Databricks - **Published:** August 4, 2026 - **Apply:** https://www.dice.com/job-detail/083d2e88-74ac-48d3-b1bf-f854992cf79a ## About the Role * 7-10+ years of progressive enterprise data engineering, data migration, or large-scale system integration experience in complex multi-platform environments. * 3-5+ years directly leading end-to-end data migration or multi-system consolidation programs for Global Enterprises, with full ownership of technical delivery and client outcomes. * Proven hands-on experience with Palantir Foundry - Pipeline Builder, Ontology, Contour, Code Workbook, and Workshop - in a production delivery context. * Demonstrated client-facing experience advising C-level executives, enterprise architecture teams, and cross-functional business stakeholders as a trusted technical partner. * Proven delivery complexity: at least 3+ heterogeneous source systems, 100M+ records, complex master data harmonization, and multi-phase cutover execution. * Validated industry depth in at least two of: Healthcare, Financial Services, Manufacturing, Energy & Utilities, Retail, or Public Sector. Technical Skills * Advanced proficiency in Python and SQL; working experience in PySpark and TypeScript/JavaScript for pipeline and SDK development. * Hands-on expertise with modern ETL/ELT platforms: AWS Glue, Azure Data Factory, Informatica, Talend, Matillion, or Fivetran. * Strong working knowledge of at least one major cloud provider (AWS or Azure) - core infrastructure, managed data services, IAM, networking, and security configurations. * Experience with enterprise data warehouse and lakehouse platforms: Snowflake, Databricks, BigQuery, Redshift, Synapse Analytics, or Delta Lake. * Practical experience integrating LLMs or AI-driven tooling into data transformation, schema inference, or mapping workflows (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI). * Familiarity with ontology frameworks (RDF, OWL) or knowledge graph platforms (Neo4j, Stardog, Palantir Ontology)., * Active Palantir certification in at least one of the following tracks is required at time of hire or within 90 days of joining ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)