Data Platform Architect - Palantir Foundry, Data Engineeringr
Designs and builds scalable Palantir Foundry data pipelines, ontologies, and governance frameworks to power enterprise analytics and AI at a semiconductor manufacturing company.
- Compensation
- $137K–$287K / yr
- Location
- US-CA-Fremont (1003)
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 12+ years
- Category
- Data engineering
- Posted
Skills
Nice to have
- Bachelor’s degree in Computer Science, Information Technology, MIS, Data Science, Analytics, or a relevant Engineering field; Master's or PhD preferred.
Full description
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.