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Palantir Foundry Consultant

Company:
MatchPoint
Location:
Pittsburgh, PA, 15289
Posted:
September 03, 2025
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Description:

MatchPoint is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Palantir Foundry Consultant- Onsite in Pittsburg PA or remote with ability to travel every 2 weeks

As a Foundry Consultant, you'll play a pivotal role in integrating Palantir Foundry with client’s Operations IQ platform. You’ll translate operational challenges into real-time, data-driven decisions that improve patient flow, staff efficiency, and care outcomes.

Responsibilities:

Lead design and implementation of Palantir Foundry-based operational solutions.

Develop data pipelines, Ontology models, dashboards, and workflows.

Facilitate adoption via training, documentation, and best practice guidance.

Translate stakeholder needs into technical deliverables; ensure alignment with KPIs.

Drive continuous configuration and optimization of deployed solutions.

Qualifications:

4 to 5 years of direct Palantir Foundry implementation experience.

Proficiency in Python, SQL, JavaScript/TypeScript, ETL, and data modeling.

Experience with cloud platforms (AWS/Azure/GCP), data governance, and security.

Strong communication, problem-solving, and stakeholder management skills.

Preferred:

Palantir Foundry certifications.

Healthcare operations/domain knowledge.

Exposure to predictive analytics or ML workflows.

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