Data Platform Architect - Palantir Foundry, Data Engineeringr

Lam Research Salzburg GmbH; Fremont (CA); Hybrid; USD 137,000 - 287,000; Full time

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

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 group you’ll be a part of

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.

The impact you’ll make

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.

What you’ll do

• 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.

Who we’re looking for

• 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.

Preferred qualifications

• Bachelor’s degree in Computer Science, Information Technology, MIS, Data Science, Analytics, or a relevant Engineering field; Master's or PhD preferred.

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

CA San Francisco Bay Area Salary Range for this position: $137,000.00 - $287,000.00.

The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.

Our Perks and Benefits

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

Nearest Major Market: San Francisco

Nearest Secondary Market: Oakland

Job Segment: Architecture, Geology, Solution Architect, Computer Science, Data Warehouse, Engineering, Technology