Data Architect

Lam Research

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Fremont, CA
Salary
$137,000–$287,000 / yr
Posted
49 days ago
Freshness
Confirmed live today
Closes
Mar 7, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $212k
$119k $305k
below market most similar roles pay here above market

This role pays more than 72% of similar roles. Most pay $149,820–$215,125 — the blue band above. At the midpoint, this role pays about $212k versus about $182k 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 137 open roles on FindRole.

Listed pay typically runs $114,000–$253,000 across 82 roles with salary data.

Most-posted roles

View all roles at Lam Research

At a glance

TL;DR · Data Architect

JOB TITLE: Data Architect The Data Architect joins the Global Information Systems Group to lead the data architecture and engineering agenda for the Customer Support and Service organization's Digital Transformation program. This role involves owning the end-to-end design of the future-state data landscape, including data models, pipelines, and integration patterns that unify service, installed-base, field operations, and customer engagement data into analytics and AI ready products. Key responsibilities include authoring technical specifications, designing scalable cloud data platforms, and serving as a technical advisor for complex cross-functional solutions. The position requires expertise in Azure Synapse, MS Fabric, Databricks, Snowflake, Spark, Python, SQL, and ETL tools like Fivetran, Kafka, and ADF. The work focuses on implementing medallion architecture and dimensional modeling for IoT and enterprise data.

What you'll do

  • Define and document the target-state data architecture including source-to-target mappings and canonical data models.
  • Author detailed technical specifications and solution designs to guide data engineering teams through delivery.
  • Architect scalable, secure, and cost-efficient data pipelines across enterprise service systems.
  • Serve as a technical advisor to business and development teams on analytics design for complex solutions.
  • Design advanced Analytics and AI applications using the Azure tech stack, MS Fabric, and Power BI.
  • Ensure all data solutions align with corporate architectural standards, governance policies, and long-term strategy.
  • Sequence the technical roadmap and resolve design trade-offs with stakeholders and delivery teams.

What we're looking for

  • 12+ years of experience in modern data engineering, data warehousing, or data lakes on cloud platforms like Azure Synapse, MS Fabric, or Snowflake.
  • 5+ years of hands-on experience using Spark and Python technologies for big data processing.
  • 5+ years of experience with ETL/ELT tools such as Fivetran, Kafka, or ADF for real-time, streaming, and batch data ingestion.
  • 8+ years of solid SQL experience in cloud-native data warehousing tools with data modeling.
  • Minimum 3 years of experience implementing end-to-end medallion architecture using Databricks or other cloud tools.
  • Proven experience in schema design, dimensional data modeling, and cloud-native data warehouse best practices.
  • Working knowledge of service and customer platforms such as SAP and MS Dynamics, plus IoT/telemetry data.
  • Experience communicating and presenting insights to influence executives and colleagues.

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