Why this role stands out
This hybrid role offers significant career growth as you architect and deploy cutting-edge data integration pipelines and AI-powered workflows for a reputable company. You'll thrive here if you are a hands-on engineer with a passion for complex problem-solving and delivering impactful technical solutions. Embrace this opportunity to expand your technical leadership and drive innovation.
Quick overview
Job description
Key Responsibilities
Technical Leadership & Architecture
- Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry, including complex transforms, incremental pipelines, and multi-source data connectors
- Architect and maintain the Ontology layer — defining object types, link types, action types, and interfaces that model customer domains with precision and scalability
- Develop and optimize Python, SQL, and Java transforms across distributed (PySpark) and lightweight (Pandas, Polars, DuckDB) compute engines
- Build and deploy TypeScript/Python Functions for server-side business logic, function-backed actions, and function-backed columns
- Create and configure Workshop applications, OSDK-based custom applications, and custom widgets to deliver operational front-ends
- Lead data governance implementation — markings, permissions, restricted views, property security groups, and role-based access controls
- Design and deploy AIP-powered workflows, including AIP Logic, AIP Agents, evaluation suites, and retrieval-augmented generation (RAG) pipelines
Deployment Strategy & Customer Engagement
- Serve as the primary technical point of contact for senior customer stakeholders, translating business problems into platform solutions
- Own deployment roadmaps end-to-end: scoping, architecture design, implementation, testing, and operationalization
- Drive adoption by delivering high-quality, production-grade solutions that users trust and rely on daily
- Navigate complex organizational dynamics, building relationships with executives, analysts, data engineers, and end users
- Identify expansion opportunities by deeply understanding the customer''s operational landscape and surfacing new use cases for the platform
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