Palantir Foundry Platform Architect

Lam Research Salzburg GmbH

Fremont (CA)

Hybrid

USD 137,000 - 287,000

Full time

11 days ago

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Job summary

Lam Research in the San Francisco Bay Area seeks a Senior Palantir Solutions Architect to lead platform architecture, integration, and data design for enterprise analytics and AI initiatives.

You will collaborate with GIS, data, governance, and delivery teams to translate business needs into scalable, secure data assets and turnkey platform solutions that enable trusted data assets and governance across the enterprise.

Qualifications

  • 12+ years of experience in data architecture, platform engineering, cloud data platforms, analytics, digital transformation, or enterprise data modernization initiatives.
  • Deep expertise in Palantir Foundry, Ontology, Pipeline Builder, Code Repositories, Operational Applications, Ontology SDK, data lineage, governance, and platform administration.
  • Strong experience with modern data platforms such as Palantir, Microsoft Fabric, Databricks, Snowflake, Azure Synapse, or equivalent cloud-native analytics ecosystems.
  • Strong understanding of Palantir ontology modeling, lakehouse architecture, data warehousing, semantic modeling, enterprise integration patterns, and operational analytics.
  • Hands-on experience with Palantir Foundry security and governance frameworks, including user access management, data lineage, SQL, data modeling, ETL/ELT, Python/PySpark, and enterprise analytics solutions.
  • Experience with SAP, MES, Kinaxis, supply chain, planning, manufacturing, service systems, APIs, or operational databases is preferred.
  • Strong understanding of data governance, Lifecycle, metadata, lineage, access control, and data quality frameworks.
  • Strong communication skills and ability to lead business-facing discussions and translate business problems into scalable technical solutions.

Responsibilities

  • Design and architect scalable data pipelines in Palantir Foundry, enabling seamless ingestion, transformation, and delivery of data across enterprise systems.
  • Develop and maintain robust Palantir Foundry Ontologies to model business entities, relationships, and operational workflows for enhanced data usability and decision-making.
  • Build end-to-end data workflows leveraging Palantir Code Repositories, Pipeline Builder, and operational applications while integrating with Microsoft Fabric, Databricks, Power BI, SQL, Python/PySpark, and cloud data services.
  • Leverage Palantir native capabilities such as Foundry Ontology SDK, data lineage, governance, and access controls to deliver secure, reusable, and production-grade data assets.
  • Define standards and best practices for modular design, data security, access management, performance optimization, testing, and scalable deployment within the Palantir ecosystem.
  • Mentor engineering teams, promote consistent engineering practices, and evaluate emerging technologies that enhance analytics, AI enablement, automation, and platform operations.
  • Partner with business stakeholders, product owners, architects, and engineering teams to define solution roadmaps and deliver scalable, governed, and operationalized data solutions.

Skills

Data architecture
Platform engineering
Cloud data platforms
Analytics
Digital transformation
Enterprise data modernization

Education

Bachelor’s degree in Computer Science, Information Technology, MIS, Data Science, Analytics, or related Engineering field

Tools

Palantir Foundry
Ontology SDK
Pipeline Builder
Code Repositories
Operational Applications
SQL
Python/PySpark
Databricks
Power BI
Microsoft Fabric

Job description

Lam Research in the San Francisco Bay Area seeks a Senior Palantir Solutions Architect to lead platform architecture, integration, and data design for enterprise analytics and AI initiatives.

You will collaborate with GIS, data, governance, and delivery teams to translate business needs into scalable, secure data assets and turnkey platform solutions that enable trusted data assets and governance across the enterprise.

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