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Data Fabric Engineer - Palantir

Job in Ann Arbor, Washtenaw County, Michigan, 48113, USA
Listing for: KLA-Belgium
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 90400 USD Yearly USD 90400.00 YEAR
Job Description & How to Apply Below

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Our technologies enable the creation of laptops, smartphones, wearables, VR devices, smart cars, and more. We focus heavily on innovation, investing 15% of sales back into research and development.

Job Title

Data Fabric Engineer (Palantir)

Responsibilities
  • Design, develop, and manage end‑to‑end solutions on the Palantir Foundry platform.
  • Deliver scalable, governed data pipelines, ontologies, and applications enabling analytics and operational decision‑making.
  • Build, maintain, and promote Palantir Foundry data pipelines, datasets, transforms, and ontologies using Python and SQL.
  • Develop Foundry applications and analytic workflows (e.g., workshop‑based solutions) to support business and operational use cases.
  • Promote solutions from development to production following platform, quality, and governance standards.
  • Operate Palantir Foundry environments (development, test, production) and monitor pipeline health, data quality, and performance.
  • Implement and maintain data access controls, permissions, and governance rules in line with security and compliance requirements.
  • Partner with platform administrators to adhere to operational best practices and platform standards.
  • Integrate Palantir Foundry with enterprise data sources such as SAP, Snowflake, relational databases, APIs, and flat files.
  • Ensure data accuracy, lineage, and consistency across the data lifecycle.
  • Apply performance and scalability best practices for enterprise‑scale data volumes.
  • Collaborate with business stakeholders, data analysts, and data scientists to translate requirements into scalable Foundry solutions.
  • Participate in design reviews, code reviews, and solution walkthroughs.
  • Create and maintain technical documentation and operational runbooks.
Preferred Qualifications
  • Experience integrating Foundry with SAP, Snowflake, Azure, or AWS ecosystems.
  • Exposure to manufacturing, finance, supply chain, or operations analytics use cases.
  • Familiarity with Foundry Code Repositories, version control (Git), and CI/CD concepts.
  • Experience supporting production systems and operational analytics.
Minimum Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).
  • Minimum six (6) years of experience in data engineering, analytics engineering, or software engineering.
  • Hands‑on experience with Palantir Foundry: data ingestion and transformation pipelines, ontology design and management, application or workflow development.
  • Strong proficiency in Python and SQL.
  • Experience working with enterprise‑scale data platforms and complex data models.
  • Solid understanding of data governance, security, and access control concepts.
Compensation

Base Pay Range: $90,400.00 – $ per annum.

Benefits
  • Medical, dental, vision, life, and other voluntary benefits.
  • 401(k) with company matching.
  • Employee stock purchase program (ESPP).
  • Student debt assistance and tuition reimbursement.
  • Development and career growth opportunities.
  • Financial planning benefits and wellness resources.
  • Paid time off, paid holidays, family care and bonding leave.
Equal Opportunity Statement

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at  or at  to request accommodation.

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