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.

Data Engineering Lead - Digital Transformation

Date:  Jun 28, 2024

Fremont, CA, US, 94538

Req ID:  182918
Worker Category:  Virtual Flex

The Group You’ll Be A Part Of


The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives. 


The Impact You’ll Make

As a lead data engineer supporting digital transformation in Enterprise Analytics group at Lam Research you will be responsible for designing and developing the overall data engineering and integration for current/future state systems and processes. You will be writing the specs and designing the solutions and coordinate with the development team to support the business needs and collaborate with data architecture, business, and development teams.

What You’ll Do

  • Use technical leadership expertise to drive data engineering design to integrate LAM’s enterprise systems and external apps to corporate data lake.
  • Work with key business and GIS stakeholders supporting digital transformation program and provide the leadership to define the data engineering framework and architecture.
  • Collaborate with cross-functional teams, including data architects, data scientists, analysts, and business stakeholders, to understand data requirements and deliver tailored solutions.
  • Lead the design, development, and implementation of robust data pipelines to collect, process, and store structured and unstructured data from various sources.
  • Leverage current data architecture as a data hub for digital transformation program and identify additional tools and services to address the data engineering gaps.
  • Optimize and tune data storage and retrieval processes for performance and scalability.
  • Establish best practices and standards for data engineering processes, tools, and technologies.
  • Mentor and coach junior data engineers, fostering a culture of continuous learning and improvement.
  • Lead and collaborate with the infrastructure and DevOps teams to ensure the availability, reliability, and security of our data platforms.
  • Demonstrate the capabilities and conduct POCs of data and advanced analytics solutions to digital transformation teams to show the potential of the Data Fabric/SILK platform.
  • Design advanced data engineering solutions and products using Microsoft Azure tech stack
  • Develop collaborative relationships with key business sponsors and IT resources for the efficient resolution of work requests.

Who We’re Looking For

  • 15+ years of experience in leading the design and development of complex data engineering projects in a global company. Experience in working for projects across cross functional teams, building sustainable processes and coordinating release schedules.
  • 10+ years of SQL experience with strong data modeling background.
  • Must have strong proficiency in programming in Python/Py Spark with hands on experience in Spark based data platforms.
  • Experience in building real-time data pipelines and stream processing systems.
  • Background in designing and building the system reliability architecture for data engineering/storage services.
  • 5+ years of experience in working with Microsoft Azure and strong knowledge about ADLS, Blob Storage, Data Factory, Delta Lake, MS Fabric, Data Bricks. Experience in Cloud based EDW platforms (Snowflake, Synapse, Redshift, Big Query etc.)
  • Must have strong experience in ETL design and development, data pipelines development methodologies, tools, processes, and best practices.
  • Communication and presentation experience with proven track record of using insights to influence executives and colleagues
  • Strong Computer Science and Mathematics background preferred
  • Excellent query writing skill and communication skills preferred
  • Familiarity with common API’s: REST, SOAP preferred.
  • Ability to work collaboratively in a fast-paced environment and manage multiple priorities effectively.

Preferred Qualifications

  • Bachelor’s Degree in Computer Science, Information Technology, MIS, Data Science, Analytics or in a relevant Engineering discipline. Master's or PhD preferred.

Our Commitment


We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.



CA San Francisco Bay Area Salary Range for this position: $156,000.00 -  $335,000.00.


The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.


Our Perks and Benefits

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

Discover more at Lam Benefits

Nearest Major Market: San Francisco
Nearest Secondary Market: Oakland

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