Data Platform Architect

In your career, let’s prove what’s possible.

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Date:
Aug 5, 2026

Location:

Fremont, CA, US, 94538

Worker Category:
On-site Flex

The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives.

This role will lead platform architecture, integration and solution design in Palantir for enterprise data, analytics, and AI use cases. The solution architect will work with business, GIS, AI, data, governance, and delivery teams to translate business needs into scalable, secure, and reusable platform solutions. The role will focus on building trusted data assets, integration patterns, semantic models, and platform standards that support AI-driven business outcomes and long-term operational readiness.

• 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.

• 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…