Data Management Specialist

Access Data Consulting Corporation; United States; On-site; USD 110,000 - 131,000; Full time

Job summary

Access Data Consulting Corporation is seeking a Senior Palantir Engineer to lead technical strategy and hands-on delivery across Palantir Foundry deployments for complex healthcare data initiatives. You will architect, build, and operationalize enterprise-grade solutions while collaborating with business and technical stakeholders.

The role emphasizes FDE leadership, platform adoption, and end-to-end deployment ownership, including governance, security, and AI-powered workflows.

Qualifications

• Minimum 2+ years of hands-on Palantir Foundry experience (REQUIRED).
• Strong proficiency in Python, SQL, and modern data engineering practices.
• Experience with PySpark, Pandas, Polars, or similar data processing frameworks.
• Deep understanding of Foundry Ontology concepts, including object types, link types, action types, interfaces, and functions.
• Proven experience designing and deploying enterprise-scale data pipelines.
• Strong stakeholder communication and requirements-gathering skills.
• Ability to work independently in a fast-paced, forward-deployed environment.

Responsibilities

• Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry.
• Architect scalable data models and Ontology structures, including object types, link types, action types, interfaces, and functions.
• Develop and optimize Python, SQL, and Java-based transforms across distributed and lightweight processing frameworks.
• Build TypeScript and Python Functions to support business logic, automation, and application functionality.
• Create and configure Workshop applications, OSDK-based applications, and custom user experiences.
• Implement enterprise data governance, security controls, permissions models, and access management frameworks.
• Design and deploy AI-powered workflows, including agent-based automation, retrieval-augmented generation (RAG), and LLM-driven solutions.
• Serve as the primary technical resource for business stakeholders and platform users.
• Translate operational and business challenges into scalable technical solutions.
• Own the full deployment lifecycle, including discovery, architecture, implementation, testing, deployment, and support.
• Troubleshoot complex data environments and integrate with legacy systems.
• Deliver production-grade solutions that drive measurable business outcomes.
• Identify opportunities to expand platform capabilities and support new use cases.
• Provide technical leadership, code reviews, and architectural guidance to engineering teams.
• Establish engineering best practices around testing, CI/CD, version control, and deployment standards.
• Mentor engineers and platform users on Foundry development patterns and platform capabilities.
• Contribute to internal documentation, reusable frameworks, and solution accelerators.
• Stay current on evolving Palantir capabilities, including Pipeline Builder, Code Workspaces, Model Studio, OSDK, AI Platform (AIP), Cipher, and streaming technologies.
• Develop machine learning and predictive analytics solutions using both no-code and pro-code approaches.
• Leverage the complete Foundry lifecycle, including data ingestion, transformation, ontology development, applications, actions, and writeback processes.
• Partner with stakeholders to continuously improve platform utilization and solution design.

Skills

Palantir Foundry

Python

SQL

Data pipelines

Ontology modeling

CI/CD

TypeScript

Tools

PySpark

Pandas

Polars

OSDK

TypeScript

Job description

NOTE: We cannot accept any C2C or H1B candidates. Must be able to work W2.

We are seeking a Senior Palantir Engineer to serve as a technical leader at the intersection of Palantir Foundry capabilities and complex enterprise data and operational initiatives four leading healthcare client. This role combines deep expertise in Palantir Foundry with hands-on solution architecture, development, and deployment leadership.

The ideal candidate is an experienced Palantir practitioner who can independently architect, build, and operationalize enterprise-grade solutions while partnering closely with business and technical stakeholders. This individual will act as a Palantir FDE, driving platform adoption and delivering high-impact solutions across inventory, operational, analytics, and data transformation use cases.

Important: Candidates must have genuine, hands-on Palantir Foundry experience. Experience with adjacent data platforms is not a substitute.

• 100% remote
• Target Rate: starting at $85/hr W2, based on experience
• 12-month contract (potential to extend)
• MUST BE ABLE TO WORK W2 - NO C2C/H1B CANDIDATES

Key Responsibilities

Technical Leadership & Solution Architecture

• Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry
• Architect scalable data models and Ontology structures, including object types, link types, action types, interfaces, and functions
• Develop and optimize Python, SQL, and Java-based transforms across distributed and lightweight processing frameworks
• Build TypeScript and Python Functions to support business logic, automation, and application functionality
• Create and configure Workshop applications, OSDK-based applications, and custom user experiences
• Implement enterprise data governance, security controls, permissions models, and access management frameworks
• Design and deploy AI-powered workflows, including agent-based automation, retrieval-augmented generation (RAG), and LLM-driven solutions
• Serve as the primary technical resource for business stakeholders and platform users
• Translate operational and business challenges into scalable technical solutions
• Own the full deployment lifecycle, including discovery, architecture, implementation, testing, deployment, and support
• Troubleshoot complex data environments and integrate with legacy systems
• Deliver production-grade solutions that drive measurable business outcomes
• Identify opportunities to expand platform capabilities and support new use cases
• Provide technical leadership, code reviews, and architectural guidance to engineering teams
• Establish engineering best practices around testing, CI/CD, version control, and deployment standards
• Mentor engineers and platform users on Foundry development patterns and platform capabilities
• Contribute to internal documentation, reusable frameworks, and solution accelerators
• Stay current on evolving Palantir capabilities, including Pipeline Builder, Code Workspaces, Model Studio, OSDK, AI Platform (AIP), Cipher, and streaming technologies
• Develop machine learning and predictive analytics solutions using both no-code and pro-code approaches
• Leverage the complete Foundry lifecycle, including data ingestion, transformation, ontology development, applications, actions, and writeback processes
• Partner with stakeholders to continuously improve platform utilization and solution design

Required Qualifications:

• Minimum 2+ years of hands-on Palantir Foundry experience (REQUIRED)
• Strong proficiency in Python, SQL, and modern data engineering practices
• Experience with PySpark, Pandas, Polars, or similar data processing frameworks
• Deep understanding of Foundry Ontology concepts, including object types, link types, action types, interfaces, and functions
• Proven experience designing and deploying enterprise-scale data pipelines
• Strong stakeholder communication and requirements-gathering skills
• Ability to work independently in a fast-paced, forward-deployed environment

Preferred Qualifications:

• Strong BigQuery experience, including optimization, data warehousing, and migration initiatives
• Experience with Palantir AIP, including AIP Logic, AIP Agents, and LLM-powered workflows
• Experience with machine learning workflows and predictive analytics solutions
• Knowledge of data governance, access controls, ABAC, and enterprise security frameworks
• Experience contributing to internal tooling, reusable frameworks, or platform best practices