

Apar Technologies
Palantir SME/ Expert
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Palantir SME/Expert with a contract length of "X months" and a pay rate of "$X/hour." Required skills include extensive experience with Palantir Foundry/Gotham, data engineering, Python, SQL, and cloud environments. A degree in Computer Science or Data Engineering is necessary.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
Unknown
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ποΈ - Date
November 13, 2025
π - Duration
Unknown
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ποΈ - Location
Unknown
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Richardson, TX
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π§ - Skills detailed
#Data Governance #Cloud #Palantir Foundry #Compliance #ML (Machine Learning) #Leadership #Computer Science #Data Engineering #Visualization #Data Modeling #Scala #Data Quality #Data Integration #Java #Data Ingestion #GCP (Google Cloud Platform) #SQL (Structured Query Language) #DevOps #"ETL (Extract #Transform #Load)" #Python #AI (Artificial Intelligence) #Security #Automation #Data Architecture
Role description
We are seeking a highly skilled Palantir SME (Subject Matter Expert) to lead solution design, implementation, and optimization of data integration and analytics workflows on the Palantir Foundry or Palantir Gotham platform. The ideal candidate will have deep technical expertise in Palantir ecosystems, experience working with large-scale data architectures, and the ability to translate business requirements into scalable, data-driven solutions.
This role requires close collaboration with cross-functional teams including data engineering, analytics, and domain experts to ensure robust and efficient end-to-end delivery of insights and operational workflows.
Key Responsibilities
β’ Serve as the primary expert for Palantir Foundry / Gotham platform implementation, configuration, and optimization.
β’ Lead data onboarding, modeling, and pipeline orchestration within Palantir environments.
β’ Design and develop data integration frameworks leveraging Palantir tools, APIs, and third-party connectors.
β’ Partner with business stakeholders to define use cases, KPIs, and data-driven outcomes.
β’ Provide technical leadership in ontology design, data governance, and access control models.
β’ Collaborate with developers and analysts to build operational dashboards, workflows, and analytical applications.
β’ Drive performance tuning, data quality management, and automation initiatives within Palantir.
β’ Train and mentor internal teams on Palantir best practices, tools, and development lifecycle.
β’ Troubleshoot and resolve complex issues related to data ingestion, transformation, and visualization.
β’ Stay current with the latest Palantir features, data integration trends, and security standards.
Required Skills & Qualifications
β’ Bachelorβs or Masterβs degree in Computer Science, Data Engineering, or a related field.
β’ 8+ years of experience in data engineering or analytics, with 2+ years of hands-on experience in Palantir Foundry / Gotham.
β’ Strong understanding of data modeling, ETL/ELT pipelines, and distributed data systems.
β’ Proficiency in Python, SQL, Java, or Scala for developing custom transformations and pipelines.
β’ Experience with Foundryβs Code Workbook, Contour, Quiver, or Ontology framework.
β’ Solid grasp of data governance, security, and compliance frameworks.
β’ Familiarity with cloud environments (GCP) and DevOps integration.
β’ Excellent problem-solving, stakeholder management, and communication skills.
Preferred Qualifications
β’ Exposure to machine learning integration or AI-driven data analytics in Palantir environments.
β’ Palantir platform certifications or partner experience is desirable.
We are seeking a highly skilled Palantir SME (Subject Matter Expert) to lead solution design, implementation, and optimization of data integration and analytics workflows on the Palantir Foundry or Palantir Gotham platform. The ideal candidate will have deep technical expertise in Palantir ecosystems, experience working with large-scale data architectures, and the ability to translate business requirements into scalable, data-driven solutions.
This role requires close collaboration with cross-functional teams including data engineering, analytics, and domain experts to ensure robust and efficient end-to-end delivery of insights and operational workflows.
Key Responsibilities
β’ Serve as the primary expert for Palantir Foundry / Gotham platform implementation, configuration, and optimization.
β’ Lead data onboarding, modeling, and pipeline orchestration within Palantir environments.
β’ Design and develop data integration frameworks leveraging Palantir tools, APIs, and third-party connectors.
β’ Partner with business stakeholders to define use cases, KPIs, and data-driven outcomes.
β’ Provide technical leadership in ontology design, data governance, and access control models.
β’ Collaborate with developers and analysts to build operational dashboards, workflows, and analytical applications.
β’ Drive performance tuning, data quality management, and automation initiatives within Palantir.
β’ Train and mentor internal teams on Palantir best practices, tools, and development lifecycle.
β’ Troubleshoot and resolve complex issues related to data ingestion, transformation, and visualization.
β’ Stay current with the latest Palantir features, data integration trends, and security standards.
Required Skills & Qualifications
β’ Bachelorβs or Masterβs degree in Computer Science, Data Engineering, or a related field.
β’ 8+ years of experience in data engineering or analytics, with 2+ years of hands-on experience in Palantir Foundry / Gotham.
β’ Strong understanding of data modeling, ETL/ELT pipelines, and distributed data systems.
β’ Proficiency in Python, SQL, Java, or Scala for developing custom transformations and pipelines.
β’ Experience with Foundryβs Code Workbook, Contour, Quiver, or Ontology framework.
β’ Solid grasp of data governance, security, and compliance frameworks.
β’ Familiarity with cloud environments (GCP) and DevOps integration.
β’ Excellent problem-solving, stakeholder management, and communication skills.
Preferred Qualifications
β’ Exposure to machine learning integration or AI-driven data analytics in Palantir environments.
β’ Palantir platform certifications or partner experience is desirable.






