Global Business Intelligence Solutions Data Architect

Lam Research

Hybrid

Quick summary

Work type
Hybrid
Location
Fremont, CA
Salary
$137,000–$287,000 / yr
Posted
2 days ago
Closes
Nov 28, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $165k
This role $212k
$104k most similar roles pay here $307k

This role pays more than 80% of similar roles. Most pay $126,800–$202,750 — the shaded band above. At the midpoint, this role pays about $212k versus about $165k 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 243 open roles on FindRole.

Listed pay typically runs $114,000–$231,000 across 119 roles with salary data.

Most-posted roles

View all roles at Lam Research

At a glance

TL;DR · Global Business Intelligence Solutions Data Architect

As a Senior Data Architect in the GBIS group at Lam Research, you will lead the design and development of data engineering and integration solutions for future systems, collaborating with stakeholders to define data strategies and architectures for cloud-native platforms. Your daily tasks include drafting specifications, creating solution designs, advising on complex analytics, and integrating Workday Adaptive with Azure's analytics stack to support enterprise decision-making. You will also identify gaps in existing processes and propose scalable data and analytics solutions, leveraging tools like Microsoft Fabric, Synapse, and Power BI. The ideal candidate has over a decade of experience in modern data engineering, cloud platforms such as Azure and Databricks, and extensive knowledge of SQL, Python, Spark, and schema design. Strong communication skills are essential for influencing executives and team members on advanced analytics standards and procedures.

What you'll do

  • Design and develop data engineering solutions for digital transformation initiatives.
  • Create data governance specifications to ensure compliance with Data and Analytics Hub standards.
  • Identify gaps in data processes through business transformation workshops and propose scalable architectures.
  • Advise on complex analytics design, aligning with company-wide principles and strategies.
  • Develop proof-of-concept projects demonstrating the potential of advanced data platforms like Microsoft Fabric.

What we're looking for

  • Over 12 years of experience in modern data engineering, warehousing, and lake technologies on cloud platforms like Azure and AWS.
  • At least 5 years of hands-on experience building FP&A applications integrating Workday Adaptive with ERP systems and Azure data platform.
  • Extensive SQL expertise for cloud-native data warehousing and modeling over a period of more than 10 years.
  • Minimum 3 years implementing end-to-end medallion architecture using Databricks or similar tools.
  • Proven experience configuring Azure cloud platforms, building automated ETL/ELT pipelines, and working with Spark and Python for big data processing.

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