Senior Data Quality Analyst
Core
Design, implement, and operationalize enterprise data quality and observability capabilities to ensure data accuracy, completeness, and consistency across critical domains.
Role type
Senior hands-on IC data quality analyst
Builds
Data validation routines, quality dashboards, scorecards, and automated alerting processes
Domain
Enterprise data management, cloud data platforms (Snowflake/AWS)
Required skills
SQL, Python, data profiling, data cleansing, data validation, root-cause analysis, data integration, ETL processes, data observability tools (Monte Carlo, Great Expectations, Soda, Datafold), AWS data services, Snowflake
Preferred skills
Data governance platforms (Atlan, Collibra, Alation, Informatica), data quality SLAs, data contracts, DAMA-DMBOK/EDM Council DCAM frameworks, CDMP certification, data lineage, MDM, SAP (MDG, ECC, S/4HANA)
Technologies
SQL, Python, Monte Carlo, Great Expectations, Soda, Datafold, Snowflake, AWS, dbt, Airflow, SAP
Responsibilities
Develop and maintain data validation, profiling, and reconciliation routines; Build and maintain data quality dashboards and scorecards; Perform root-cause analysis and remediate data issues; Support configuration and integration of data quality tools with Snowflake-on-AWS; Partner with governance teams to align with MDM and data governance standards; Identify opportunities to automate data quality checks and issue resolution
Seniority
Senior, hands-on IC
