Data Quality & Governance Technical Analyst (Level 4)

The group you’ll be a part ofThe 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 makeYou will play a critical role in translating data governance standards into scalable technical implementations that improve data trust and usability across the enterprise. By embedding data quality controls, enabling CDGC capabilities, and driving data visibility through cataloging, lineage, and metadata management, you will ensure that downstream analytics, reporting, and operational systems consume high-quality, reliable data.This role focuses on hands-on execution and continuous improvement, ensuring that data issues are proactively identified, resolved, and prevented at scale.What you’ll doTranslate business-defined data quality rules into technical implementations.Implement data validation, cleansing, and standardization rules, including MDM survivorship logic.Enable the execution of data quality frameworks, including rule standardization, threshold management, and alignment to Critical Data Elements (CDEs).Perform data profiling and validation, including null checks, pattern analysis, duplicate detection, and anomaly identification.Configure and support CDGC capabilities, including data catalog onboarding and metadata ingestion.Enable business glossary mapping, CDE classification, and data product onboarding into the marketplace.Support and validate data lineage across systems to ensure traceability and facilitate impact analysis.Embed data quality checks and pass/fail gates into data pipelines (IDMC, ETL, and SQL).Monitor data quality scorecards, track defects, and collaborate on issue classification and prioritization.Perform root cause analysis (RCA), validate fixes through regression testing, and recommend structural improvements.Develop and support data quality dashboards.Who we’re looking forA minimum of 8 years of related experience with a Bachelor's degree in Computer Science or a related field; or 6 years of related experience with a Master's degree; or 3 years of related experience with a PhD; or an equivalent combination of education and experience.6–8 years of management experience.6+ years of hands-on experience in data quality, data engineering, or governance-focused technical roles.Strong hands-on experience with Informatica CDGC and data catalog tools, including metadata curation, dataset onboarding, and data quality visibility.Experience with business glossaries, data lineage, and governed metadata management.Strong proficiency in SQL and data pipeline development, including ETL, IDMC, and SQL-based workflows.Strong analytical skills, with experience in data profiling, data quality validation, and root cause analysis (RCA).Preferred qualificationsExperience with Informatica IDQ, IDMC, or similar tools for data quality rule implementation and scorecard development.Experience with Power BI or similar tools to build, analyze, and maintain data quality dashboards and metrics.Exposure to SAP master data domains, including Customer, Supplier, Material, and Finance.Experience with cloud platforms such as SILK, Snowflake, or Databricks.Familiarity with Master Data Management (MDM) concepts, including survivorship and validation rules.Basic scripting experience in Python, Spark, or similar technologies.Our commitmentWe 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.#LI-DM1SalaryCA San Francisco Bay Area Salary Range for this position: $92,000.00 - $211,000.00.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 BenefitsAt 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.Department:Information Systems