Data Quality & Governance Technical Analyst (Level 4)

Lam Research; Fremont (CA); On-site; USD 92,000 - 211,000; Full time

Job summary

Lam Research's Global Information Systems Group is seeking a data governance professional to translate data quality standards into scalable technical implementations across the enterprise, embedding validation, MDM survivorship, and metadata management to improve data trust. This role focuses on catalog onboarding, data lineage, and governance-driven data products for enterprise analytics.

The candidate will lead profiling, threshold management, and dashboard development, ensuring high-quality

Qualifications

• 8+ years of related experience with a Bachelor's in CS, 6+ years with a Master's, or 3 years with a PhD
• 6–8 years of management experience
• 6+ years hands-on experience in data quality, data engineering, or governance-focused roles
• Strong SQL and data pipeline development experience (ETL, IDMC, SQL-based workflows)
• Experience with Informatica CDGC and data catalog tools
• Experience with business glossaries, data lineage, and governed metadata management
• Strong analytical skills with RCA experience

Responsibilities

• Translate business-defined data quality rules into technical implementations.
• Implement data validation, cleansing, and standardization rules, including MDM survivorship logic.
• Enable execution of data quality frameworks, including rule standardization, threshold management, and alignment to 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 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.

Skills

Data governance

Data quality

SQL

ETL

Data profiling

RCA

Analytics

Education

Bachelor's in Computer Science

Master's in Computer Science

PhD

Tools

Informatica CDGC

Informatica IDQ

Informatica IDMC

Power BI

Snowflake

Databricks

Job description

About the Role

The Global Information Systems Group is dedicated to the success of Lam by 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.

Impact

You 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.

Responsibilities

• Translate 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 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.

Qualifications

• A minimum of 8 years of related experience with a Bachelor's degree in Computer Science or a related field; or 6 years with a Master's degree; or 3 years 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 Qualifications

• Experience 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 MDM concepts, including survivorship and validation rules.
• Basic scripting experience in Python, Spark, or similar technologies.

Commitment to Diversity

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.

Salary and Benefits

CA San Francisco Bay Area Salary Range for this position: $92,000.00 - $211,000.00. 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.

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