Data Architect

Lam Research

Hybrid

Quick summary

Work type: Hybrid
Location: Fremont, CA
Salary: $166,000–$350,000 / yr
Posted: 2 days ago
Closes: Dec 27, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k

This role $258k

$108k most similar roles pay here $376k

This role pays more than 95% of similar roles. Most pay $133,781–$209,175 — the shaded band above. At the midpoint, this role pays about $258k versus about $171k 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 248 open roles on FindRole.

Listed pay typically runs $114,000–$253,000 across 116 roles with salary data.

Most-posted roles

View all roles at Lam Research

At a glance

TL;DR · Data Architect

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The Data Architect will join a dynamic team as a senior-level professional responsible for designing, implementing, and maintaining critical data systems to ensure the availability and performance of corporate applications in a part management and logistics ecosystem. Day-to-day responsibilities include managing data flows through various environments, configuring and maintaining data servers, applying data modeling techniques, resolving issues independently, automating processes, assisting developers with query tuning, and providing support for production systems. The role requires expertise in Microsoft technologies, experience with performance tuning and optimization, knowledge of high availability and disaster recovery strategies, and strong communication skills to mentor peers effectively. This position is crucial for supporting an enterprise application suite used across multiple business units and development teams, emphasizing the need for a flexible and self-driven individual capable of thriving in a rapidly changing environment.

Skills

SQL Python Terraform Azure Kubernetes Docker CI/CD PostgreSQL Snowflake AWS GitLab High Availability Disaster Recovery Performance Tuning Monitoring Tools

What you'll do

Manage data flows and warehouses across various product lifecycle environments.
Configure and maintain data servers to ensure high performance and security.
Apply data modeling techniques to support integration and performance expectations.
Independently analyze and resolve issues in real-time for critical systems.
Automate processes, track issues, and document changes for system maintenance.
Assist developers with complex query tuning and schema refinement tasks.

What we're looking for

8+ years of experience in data architecture or related roles.
Solid expertise with Microsoft technologies, including performance tuning.
Proven ability to manage data flows and maintain data warehouses.
Strong skills in data modeling and query optimization for complex systems.
Excellent communication and collaboration abilities within a team.
Experience in high availability and disaster recovery strategies.

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