Data Quality Architect (CDGC, SAP)

Lam Research Salzburg GmbH; Fremont (CA); Hybrid; USD 92,000 - 211,000; Full time

Benefits offered by this job

Job summary

Lam Research is seeking a Data Quality Analyst (CDGC / Informatica) to translate governance standards into scalable tech solutions. You’ll implement data quality controls, support CDGC, and drive data lineage and metadata enrichment.

The role collaborates with SAP teams, data engineers, and stakeholders to ensure trusted enterprise data for analytics and AI initiatives. The position requires 8+ years in data quality/governance, strong SQL, and hands-on CDGC/IDQ/IDMC experience.

Qualifications

• Minimum 8 years of related experience with a relevant degree, or 6 years with a Master's, or 3 years with a PhD.
• Hands-on experience with CDGC, including metadata curation and catalog management.
• Strong SQL skills and experience with ETL and data pipelines.
• Experience supporting data quality, governance, and lifecycle processes across ERP.
• Familiarity with Master Data Management and data stewardship.

Responsibilities

• Translate data governance standards into scalable technical implementations.
• Implement data quality controls and machine-readable rules across domains.
• Collaborate with SAP teams and data engineers to monitor data quality.
• Develop data quality scorecards and dashboards using CDGC and Power BI.
• Perform data profiling, validation, and RCA to prevent recurring issues.
• Maintain data lineage and metadata mapping for traceability.

Skills

Informatica CDGC

Informatica IDQ/IDMC

SQL

Data quality

Data governance

Data lineage

Power BI

SAP data domains

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering or related field

Tools

Informatica CDGC

Informatica IDQ/IDMC

SAP

Power BI

Job description

Lam Research is seeking a Data Quality Analyst (CDGC / Informatica) to translate governance standards into scalable tech solutions. You’ll implement data quality controls, support CDGC, and drive data lineage and metadata enrichment.

The role collaborates with SAP teams, data engineers, and stakeholders to ensure trusted enterprise data for analytics and AI initiatives. The position requires 8+ years in data quality/governance, strong SQL, and hands-on CDGC/IDQ/IDMC experience.