Lead Data Solutions Engineer (Palantir Foundry)

Job Description

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Our analytics team drives data-informed decisions across manufacturing, leasing, supply chain, and logistics operations. We’re seeking a Lead Foundry Solutions Engineer to act as a technical lead bridging deep Palantir Foundry expertise with business acumen to deliver transformative solutions. In this senior role, you will autonomously architect end-to-end data solutions, collaborate with team members, and develop innovations that drive measurable results—such as optimizing supply chain efficiencies or improving cost estimation within industrial contexts.

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Key Responsibilities

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End-to-End Solution Delivery

• Lead the design, development, and deployment of scalable data pipelines, applications, and workflows in Palantir Foundry.
• Integrate with cloud platforms (AWS, Azure, GCP) and external data sources (Snowflake, Oracle, REST APIs).
• Ensure solutions are reliable, secure, and compliant with industry standards (GDPR, SOX).
• Demonstrate deep Foundry expertise and the ability to deliver results in complex, high-stakes environments.

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Full Application and Workflow Development

• Build end-to-end applications and automated workflows using Foundry modules such as Workshop, Slate, Quiver, Contour, and Pipeline Builder.
• Develop intuitive, interactive user experiences that connect front-end interfaces to robust back-end logic.
• Deliver scalable tools such as real-time supply chain monitors or AI-driven decision workflows.

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Data Modeling and Transformation for Advanced Analytics

• Architect data models and ontologies in Foundry to standardize and integrate datasets from manufacturing and logistics systems.
• Develop reusable transformation logic using PySpark, SQL, and Foundry tools (Pipeline Builder, Code Repositories).
• Enable predictive modeling, AI-driven insights, and operational optimizations through clean, enriched data pipelines.
• Maintain semantic integrity across domains to support advanced analytics and proactive problem-solving.

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Dashboard Development and Visualization

• Build interactive dashboards and applications using Foundry tools (Workshop, Slate, Quiver, Contour).
• Provide real-time KPIs, trends, and insights that enhance data-driven decision-making and operational visibility.

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AI Integration and Impact

• Design and implement AIP pipelines and AI/ML integrations that enable predictive analytics, anomaly detection, and automation.
• Apply frameworks such as TensorFlow, PyTorch, or LLMs to drive transformative business outcomes in manufacturing, leasing, and logistics.

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Leadership and Collaboration

• Serve as a lead Forward Deployed Engineer, providing guidance through code reviews, workshops, and troubleshooting.
• Foster a culture of efficiency, technical excellence, and knowledge-sharing across the team.

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Business Domain Strategy and Innovation

• Develop deep understanding of our domains—leasing, manufacturing, and logistics—to anticipate stakeholder needs.
• Propose and implement innovative solutions that improve productivity and long-term business performance.
• Integrate with complementary tools such as Databricks for extended analytics workflows.

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Collaboration and Stakeholder Engagement

• Partner with leadership and cross-functional teams to gather requirements, validate solutions, and ensure reliability in mission-critical projects.

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Qualifications

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Required

• Bachelor’s degree in Computer Science, Engineering, Data Science, Financial Engineering, Econometrics, or related field (Master’s preferred).
• 8+ years of hands-on data engineering experience, including 4+ years specializing in Palantir Foundry (Ontology, Pipelines, AIP, Workshop, Slate).
• Proficiency in Python, PySpark, SQL, and building scalable ETL workflows.
• Experience integrating with interoperable cloud IDEs such as Databricks.
• Proven ability to independently deliver end-to-end solutions with measurable impact.
• Strong business acumen in industrial domains (manufacturing, leasing, supply chain, logistics).
• Demonstrated ability to work collaboratively in technical environments and handle ambiguity effectively.

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Preferred

• Palantir Foundry certifications (Foundry Data Engineer, Application Developer).
• Experience with AI/ML integrations (TensorFlow, PyTorch, LLMs) within Foundry AIP.
• Familiarity with CI/CD tools and cloud services (AWS, Azure, Google Cloud).
• Experience with visualization platforms (Qlik, Tableau, Power BI) to complement Foundry dashboards.

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Summary

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This role is ideal for a hands-on data engineering leader who thrives in building complex, end-to-end Foundry solutions that transform industrial operations. You’ll serve as both architect and innovator—connecting technical depth with business impact to drive our data-driven future.