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Forward Deployment Engineer (Palantir Certification is a Must)

iFusion Inc.United States🇺🇸United StatesPosted 1 Sept 2026

Why This Role Stands Out

This hybrid role offers significant opportunities to leverage your Palantir expertise and drive impactful data solutions for global enterprises, with a competitive compensation package reflecting your advanced skills. You'll thrive here if you have 7-10+ years of enterprise data engineering experience, proven Palantir Foundry mastery, and a knack for advising C-level executives within healthcare, financial services, or manufacturing sectors. Don't miss this chance to advance your career with a respected company.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
1 week ago
Neo4jSQLAWSETLSnowflakeAzureBigQueryDatabricksJavaScriptPythonRedshiftTypeScript

Job Description

Forward Deployment Engineer
Palantir Certification is a Must -
Experience
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).
Palantir Certification (Required)
Active Palantir certification in at least one of the following tracks is required at time of hire or within 90 days of joining:
Palantir Foundry Data Engineer
Palantir Foundry Ontologist
Palantir AIP Application Developer

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