Data Quality Analyst (CDGC / Informatica)
Listed on 2026-08-03
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IT/Tech
Data Engineering, Data Analyst
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 Quality Analyst (CDGC / Informatica)Date:
Jul 14, 2026
Location:
Fremont, CA, US, 94538
Worker Category:
On-site Flex
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 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 implementing data quality controls, enabling CDGC capabilities, and driving visibility through data catalogs, lineage, metadata, and quality scorecards, you will help ensure that downstream business processes, analytics, reporting, and AI initiatives consume trusted and reliable data.
This role is highly hands-on and execution-focused, requiring close collaboration with data stewards, governance leads, SAP teams, data engineers, and application teams to proactively identify, resolve, and prevent data quality issues at scale.
- Translate business-defined data quality rules into technical implementations using Informatica IDQ/IDMC, SQL validations, profiling rules, scorecards, and pipeline controls.
- Implement data validation, cleansing, standardization, and MDM survivorship rules across enterprise data domains.
- Partner with SAP functional teams to implement and monitor data quality controls across Customer, Supplier, Material, and Finance master data domains.
- Execute enterprise data quality frameworks, including rule standardization, threshold management, and alignment to Critical Data Elements (CDEs).
- Perform data profiling and validation activities, including completeness checks, duplicate analysis, pattern validation, referential integrity checks, and anomaly detection.
- Configure and support CDGC capabilities, including dataset onboarding, metadata ingestion, catalog enrichment, governed asset management, and business glossary mapping.
- Support CDE classification, governed data asset onboarding, and data product registration within CDGC and Data Marketplace.
- Support and validate technical and business data lineage across SAP, master data, analytics, and downstream platforms for traceability and impact analysis.
- Enable and maintain data quality rule mapping, scorecards, dashboards, and data health visibility within CDGC.
- Embed data quality validation checks and pass/fail control gates within IDMC, ETL, and SQL-based data pipelines to prevent invalid data from propagating downstream.
- Develop, enhance, and maintain data quality scorecards and dashboards using CDGC, Power BI, and related reporting tools.
- Monitor data quality scorecards and dashboards, track defects, support issue classification, and partner with stakeholders on remediation activities.
- Perform root cause analysis (RCA), validate fixes…
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