QA Automation position in a hybrid model focused on digital transformation of financial projects. Seeking individuals with experience in software automation and Agile methodology.
About the role
- Data Quality and Master Data Management Engineer responsible for MDM and DQ solutions at Sinclair, Inc. Ensuring data accuracy, consistency, and governance across enterprise systems.
Responsibilities
- Design, develop, and maintain Master Data Management (MDM) and Data Quality (DQ) solutions
- Own, maintain, and expand the ED&I-built Data Quality Foundation
- Translate data governance policies, quality standards, and field-level requirements into technical data quality rules
- Build, maintain, and support scalable pipelines that detect, measure, and store data quality results across multiple domains
- Implement automated frameworks that surface issues in real-time
- Analyze and map source system attributes to the Golden Record structure
- Create and manage transformation logic to standardize, harmonize, and prepare data for MDM use cases
- Maintain and enhance the Data Quality Dashboard
- Ensure dashboards reflect clear, executive-ready views of data quality trends
- Manage end-to-end exception reporting
- Partner with the Enterprise Data Governance Office
- Translate governance requirements into actionable technical specifications
- Act as a trusted technical advisor to Data Stewards, Data Owners, and Data Council representatives
- Monitor performance of Snowflake workloads
- Maintain documentation of rules, mappings, logic, lineage, and dashboard changes
Requirements
- 5 or more years of experience in Data Engineering, Data Quality, or Master Data Management roles
- Strong hands-on experience implementing and managing MDM and DQ frameworks (commercial or open source)
- Advanced proficiency with Snowflake, including schema design, SQL optimization, and ELT orchestration
- Strong programming skills in SQL and Python for data validation, profiling, and automation
- Experience building reporting or dashboard layers (Cognos Analytics, SSRS, Power BI, Tableau, or similar)
- Familiarity with MDM concepts such as golden record design, survivorship, match/merge logic, and hierarchy management
- Understanding of data quality dimensions, measurement techniques, score carding, and exception management
- Experience with metadata-driven design, rule frameworks, and repeatable automation patterns
- Deep understanding of data governance principles, including metadata, reference data, and stewardship processes
- Proven experience integrating data management solutions with ERP, CRM, and analytics platforms
- Familiarity with AI/ML-based approaches to improve data quality and anomaly detection
- Experience with AWS or Azure data services and modern CI/CD practices for data pipeline deployment
- Strong analytical and troubleshooting skills, with the ability to operate effectively in complex data ecosystems.
Benefits
- health, dental and vision plans
- flexible spending accounts
- 15 paid vacation days
- 2 paid personal days
- 9 paid holidays
- 40 hours of paid sick leave
- parental leave
- employee stock purchase plan
- participation in a retirement plan
- life and disability insurance
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