Data Quality & Governance Technical Analyst (Level 4)

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.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 do

• 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 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.

• A 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 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 Master Data Management (MDM) concepts, including survivorship and validation rules.
• Basic scripting experience in Python, Spark, or similar technologies.

CA 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.

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