Palantir Foundry Platform Administrator

Blue Swan Technologies Inc

United States

7 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

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)

+18 more

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

Requirements

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