Hybrid MDM and Data Quality Engineer

at GDS Group

• Job title: MDM and Data Quality Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $105,000 - $140,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cognos, ERP, Open Source, Python, SQL, Tableau
• Location requirements: Hybrid, Hunt Valley, United States

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