Lead Data and Cloud Architect

In your career, let’s prove what’s possible.

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible. Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy.

We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration. The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value.

We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities. Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Date:
Jul 11, 2026

Location:

Fremont, CA, US, 94538

Worker Category:
On-site Flex

Global Information Systems

As a lead data and cloud architect supporting digital transformation in GBIS (Global Business Intelligence Solutions) group at Lam Research, you'll be responsible for designing and developing data engineering and integration solutions for future systems. Your role includes drafting specifications, creating solution designs, coordinating with development teams, and collaborating with data architecture, business, and development groups. You'll also advise application and business development teams on complex analytics design, ensuring alignment with Data and Analytics Hub principles, standards, and strategies.

• Use leadership skills to drive process, data, analytics, and AI design from discovery to delivery.
• Collaborate with Business and GIS stakeholders to support big data platform initiatives and provide direction on defining data strategy and architecture for cloud-native platforms.
• Design and develop data engineering solutions and data governance specifications as part of digital transformation processes.
• Participate in business transformation workshops with subject matter experts to identify data and process gaps, proposing scalable data and analytics architectures to address those needs.
• Utilize existing architecture as a data hub for the digital transformation program, identifying supplemental tools and services for process improvement.
• Offer guidance and insights on emerging data analytics trends and technical capabilities that can enhance digital transformation across the company.
• Demonstrate advanced data and analytics solutions to digital transformation teams, showing the potential of the Data Fabric platform with proof-of-concept projects.
• Develop, uphold, and advocate for advanced analytics standards and procedures throughout the GIS Data Hub across the entire organization.
• Design planning and analytics solutions by integrating Workday Adaptive with the Azure analytics stack (Microsoft Fabric, Synapse, Power BI), including ETL/ELT pipelines to support enterprise decision-making.
• Build strong relationships with key business sponsors and IT resources to efficiently resolve work requests.

• Bachelor’s degree in Computer Science, Information Technology, MIS, Data Science, Analytics, or a relevant Engineering field;
  Master's or PhD preferred.
• Over 12 years of experience with modern data engineering, data warehousing, and data lake technologies on cloud platforms such as Azure, AWS, and Databricks.
• Over 10 years of SQL experience with cloud-native data warehousing and data modeling.
• Over 5 years of experience in building and supporting FP&A applications, integrating platforms such as Workday Adaptive, Anaplan, SAP BPC etc. with ERP systems and Azure data platform.
• Over 5 years of experience…