Overview
Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Skills
Extract
Transform
Load
ELT
SQL
Python
Data Processing
Data Architecture
Data Engineering
Data Governance
Data Integration
Data Modeling
Data Security
Modeling
Palantir Foundry
Palantir
Job Details
Role: Palantir Data Architect
Hybrid Role in Atlanta, GA or Charlotte, NC
W2 Contract Role
JD:
Key Responsibilities
Lead the architecture, modeling, and implementation of scalable data solutions within Palantir Foundry.
Design Foundry Ontologies, datasets, and data relationships to support operational and analytical use cases.
Develop and maintain Code Repositories, Contour Pipelines, and Quiver Transformations for ETL/ELT workflows.
Implement data governance best practices, including access controls, lineage, quality, and auditability.
Partner with business stakeholders to translate requirements into Foundry objects, workflows, and decision frameworks.
Optimize pipeline performance, resource usage, and compute efficiency across Foundry environments.
Collaborate with engineering teams to integrate external data sources (APIs, warehouses, streams, operational systems).
Support the development of Operational Applications using Foundry s low-code and coding frameworks.
Build reusable data assets and templates to accelerate adoption of Foundry across programs.
Ensure compliance with security, privacy, and regulatory requirements in data processing workflows.
Provide technical guidance, documentation, and mentoring for data engineers and analysts using Foundry.
Required Qualifications
6+ years of experience in data engineering, data architecture, or analytics engineering.
Hands-on experience with Palantir Foundry: Ontology, Pipelines, Code Workbooks, Transformations, and Operational Applications.
Strong expertise in Python, SQL, Spark, or equivalent distributed processing frameworks.
Strong understanding of data modeling, ETL/ELT design, warehousing principles, and data integration.
Experience designing data security models, RBAC, and lineage frameworks in enterprise environments.
Ability to communicate complex technical concepts to technical and non-technical stakeholders.
Experience implementing scalable, production-grade data solutions.
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