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.
As Lead Data and Cloud Architect within Lam Research's GBIS(Global Business Intelligence Solution) group, you will drive the data architecture and engineering agenda behind our Digital Transformation program for the Customer Support and Service organization. You will own the end-to-end design of the future-state data landscape — data models, pipelines, and integration patterns that unify service, installed-base, field operations, and customer engagement data into trusted, analytics and AI ready data products.
- Define and document the target-state data architecture for Customer Support and Service, including source-to-target mappings, canonical data models, integration specifications, and cloud data platform design.
- Author detailed technical specifications and solution designs, then partner with data engineering and development teams to guide implementation through to delivery.
- Architect scalable, secure, and cost-efficient data pipelines and integrations across enterprise service systems, translating business requirements into resilient engineering solutions.
- Serve as the technical advisor to application, business, and development teams on analytics design for complex, cross-functional solutions.
- Ensure every solution aligns with the Data COE's principles, architectural standards, governance policies, and long-term data strategy.
- Design advanced Analytics and AI applications using Azure tech stack, MS Fabric, Power BI including ETL processes.
- Collaborate closely with data architecture peers, business stakeholders, and delivery teams to sequence the roadmap and resolve design trade-offs.
- 12+ years of experience in working in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure Synapse/MS Fabric, Data Bricks, Snowflake etc.
- Must have 5 years of solid hands-on experience in using Spark and Python technologies and framework for big data processing
- Minimum 3 years of experience in implementing end to end medallion architecture using Databricks or other cloud tools and platforms
- 5+ years of experience with ETL/ELT tools like, FiveTran, Kafka or equivalent, ADF etc for real-time, streaming and batch data ingestion patterns.
- 8+ years of solid SQL experience in cloud native data warehousing tools with data modeling
- Proven experience in schema design and dimensional data modelling
- Solid knowledge of data warehouse best practices, development standards and methodologies in cloud native platforms etc.
- Working knowledge of service and customer platforms such as SAP, MS Dyanmics plus IoT/telemetry data from installed-base equipment.
- Strong experience working with and analyzing large datasets, within the relevant domains of IoT and enterprise data.
- Communication and presentation experience with proven track record of using insights to influence executives and colleagues
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.
Salary
CA San Francisco Bay Area Salary Range for this position: $137,000.00 - $287,000.00.
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.
Skills Required
- 12+ years of experience with modern data engineering, data warehousing, and data lake technologies on cloud platforms
- 5+ years of hands-on experience using Spark and Python for big data processing
- 3+ years of experience implementing end-to-end medallion architecture using Databricks or comparable cloud platforms
- 5+ years of experience with ETL/ELT tools and real-time, streaming, and batch data ingestion patterns
- 8+ years of SQL experience with cloud-native data warehousing tools and data modeling
- Experience with schema design and dimensional data modeling
- Knowledge of data warehouse best practices, development standards, and methodologies on cloud-native platforms
- Working knowledge of SAP, Microsoft Dynamics, and IoT or telemetry data from installed-base equipment
- Experience working with and analyzing large IoT and enterprise datasets
- Communication and presentation experience influencing executives and colleagues with data-driven insights
Lam Research Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lam Research Corporation and has not been reviewed or approved by Lam Research Corporation.
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Parental & Family Support — Parental leave is described as 16 weeks fully paid for all new parents, with birth mothers averaging about 26 weeks total; adoption assistance and subsidized backup childcare are also included. These programs are consistently highlighted as standout elements of the package.
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Healthcare Strength — Medical options span PPO, CDHP, and HMO choices with company HSA funding, alongside dental and vision coverage. Coverage quality and breadth are emphasized, supported by wellbeing resources such as an EAP.
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Equity Value & Accessibility — An ESPP with a discount and look-back/reset features is highlighted, and many technical roles include RSUs and bonuses that lift total compensation. These equity mechanisms are frequently cited as meaningful components of total rewards.
Lam Research Corporation Insights
What We Do
Lam Research Corp. (NASDAQ:LRCX) is a global supplier of innovative wafer fabrication equipment and services to the semiconductor industry. The world's leading companies trust us as their valued partner because we bring together technology leadership, a strong values-based culture, and an unwavering commitment to prove our customers’ next big breakthrough. Our impact on the world can be seen all around us, as nearly every advanced chip today is built with our technology. Through collaboration, precision, and our commitment to delivery, we are transforming atomic-scale engineering and driving semiconductor breakthroughs that define the next generation. Lam Research Social Media Guidelines: By using or accessing this page, you agree to comply with LinkedIn’s Terms and Conditions. While we welcome participation and engagement, it is important to note that postings and/or comments by followers to Lam’s LinkedIn page do not necessarily reflect the opinions of Lam, nor does Lam confirm their accuracy. We expect that participants post content and commentary that is both relevant and respectful to this community as a whole. Lam reserves the right to remove any posts and/or comments that do not adhere to our guidelines and to block anyone who violates them repeatedly. Specifically, we do not tolerate these kinds of posts: • Abusive, harassing, stalking, threatening or attacking others • Defamatory, offensive, obscene, vulgar or depicting violence • Hateful in language targeting race/ethnicity, religion, gender, nationality or political beliefs • Fraudulent, deceptive, misleading or unlawful • Violations of any intellectual property rights • Spamming in nature • Commercial solicitation or solicitation of donations • Link baiting (embedding a link in your post to draw traffic to your own site) View Lam’s Online Privacy Notice Summary : https://www.lamresearch.com/privacy/
