Data Platform Architect

Lam Research

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Fremont, CA
Salary
$137,000–$287,000 / yr
Posted
36 days ago
Freshness
Confirmed live yesterday
Closes
Feb 1, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k
This role $212k
$119k most similar roles pay here $305k

This role pays more than 60% of similar roles. Most pay $149,387–$241,937 — the shaded band above. At the midpoint, this role pays about $212k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Lam Research

Lam Research Corporation is a leading American supplier of wafer-fabrication equipment and services to the global semiconductor industry.

Lam Research currently has 299 open roles on FindRole.

Listed pay typically runs $114,000–$253,000 across 141 roles with salary data.

Most-posted roles

View all roles at Lam Research

At a glance

TL;DR · Data Platform Architect

As a Data Platform Architect within the Global Information Systems Group, you will lead platform architecture, integration, and solution design for enterprise data, analytics, and AI use cases. You will collaborate with business, governance, and engineering teams to translate requirements into scalable, secure, and reusable solutions. Your daily work involves designing data pipelines in Palantir Foundry, developing robust Ontologies to model business entities, and building end-to-end workflows using Pipeline Builder and Code Repositories. You will utilize a technical stack including SQL, Python/PySpark, Microsoft Fabric, Databricks, Power BI, and Snowflake. The role focuses on solving complex problems in data lineage, semantic modeling, and operational analytics while establishing standards for security and performance. You will also mentor engineering teams to ensure consistent practices across the Palantir ecosystem to support AI-driven business outcomes and long-term readiness.

What you'll do

  • Design and architect scalable data pipelines in Palantir Foundry for seamless ingestion and transformation.
  • Develop and maintain robust Palantir Foundry Ontologies to model business entities and operational workflows.
  • Build end-to-end data workflows using Pipeline Builder, Code Repositories, and integrated tools like Databricks and Power BI.
  • Implement Palantir native capabilities for data lineage, governance, and secure access controls.
  • Define standards for modular design, performance optimization, and scalable deployment within the Palantir ecosystem.
  • Mentor engineering teams and promote consistent practices to enhance analytics and AI enablement.
  • Translate business requirements into technical roadmaps and deliver governed, operationalized data solutions.

What we're looking for

  • 12+ years of experience in data architecture, platform engineering, cloud data platforms, or enterprise data modernization.
  • Deep expertise in Palantir Foundry tools including Ontology, Pipeline Builder, Code Repositories, and the Ontology SDK.
  • Proficiency with modern data platforms such as Microsoft Fabric, Databricks, Snowflake, or Azure Synapse.
  • Strong experience with SQL, Python/PySpark, ETL/ELT processes, and data modeling.
  • Expertise in data governance, lineage, metadata management, and security frameworks.
  • Knowledge of semantic modeling, lakehouse architecture, and enterprise integration patterns.
  • Preferred experience with SAP, MES, Kinaxis, supply chain systems, or manufacturing databases.
  • Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related engineering field; Master's or PhD preferred.

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