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 Engineer, Program Lead

Date:  May 19, 2026
Location: 

Bangalore, IN-Bangalore, IN

Req ID:  193148
Worker Category:  On-site 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


The Information Technology function is responsible for managing and overseeing the technology infrastructure that that supports the organization’s operations. This includes the maintenance of hardware, software, networks, databases, and communication systems; ensuring that these systems are secure, efficient, and capable of supporting business objectives. Key responsibility areas include infrastructure management, software and systems maintenance and development, data management and security, technical support, and strategic planning and innovation. The Data Management & Analytics area is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data architecture, data analytics, governance, and quality. The Data Engineering focus specializes in designing, building, and maintaining the infrastructure for data generation, storage, and access. Develops pipelines to ensure the efficient collection, transformation, and availability of data for analysis through integrating data from various sources, optimizing data architecture, and ensuring data integrity.

What you’ll do


This is an advanced career level where a senior professional typically stabilizes.
Depth of knowledge and experience enables contribution in a more complex and/or critical environment.
Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. 
Some barriers to entry may exist at this level (e.g., dept/peer review).
Level at which career may plateau. 
Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. 
Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. 
Networks with key contacts outside own area of expertise. 
Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
Takes initiative to recognize obstacles and create solutions.
Determines methods and procedures on new assignments and may coordinate activities of other personnel (Team Lead). 
Requires minimal direction, 
Identifies and pursues opportunities for innovation within discipline or business area.
Provides informal guidance to less experienced colleagues.

Who we’re looking for


Typically requires a minimum of 8 years of related experience with a 
Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 
years experience; or equivalent experience.

Preferred qualifications

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.


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