Master Data Engineer

The Master Data Engineer owns enterprise master data strategy, governance, and execution to ensure data is accurate, consistent, and usable across the organization. This person partners with operational teams, analysts, system owners, and business leads to define standards, document definitions and processes, and deliver governed, high-quality data into integrations, analytics, and data stores. Master Data Strategy & Operating Model - Define and evolve the enterprise master data approach: domains, ownership, stewardship model, workflows, and measurable outcomes.

• Master Data Strategy & Operating Model - Define and evolve the enterprise master data approach: domains, ownership, stewardship model, workflows, and measurable outcomes.
• Domain Ownership (Customer + Item first; expand over time) - Establish standards and processes for Customer Master and Item Catalog, then extend the same discipline to additional domains and reference data.
• Governance & Standards - Create and maintain data standards, naming conventions, required attributes, reference data, hierarchies, and lifecycle rules (create/change/inactivate). Define "golden record" and survivorship logic where applicable.
• Business Partnership & Stewardship Enablement - Work directly with business stakeholders to align on definitions, operationalize stewardship, and set SLAs for data maintenance and issue resolution.
• Data Quality Management - Design controls and monitoring for profiling, validation, deduplication, normalization, and exception handling. Build scorecards/KPIs and root-cause recurring issues.
• Documentation & Data Cataloging - Maintain data dictionaries, attribute definitions, SOPs, lineage, and business rules-written for both business and technical audiences.
• Master Data Maintenance & Change Control - Run intake and execution for master data changes (new records, updates, hierarchy changes), ensuring traceability, approvals, and auditability.
• Data Warehouse & Analytics Collaboration - Partner with data engineers/analysts to ensure master data is modeled correctly, conformed across sources, and supports reporting and decision-making.
• Integration & Interoperability - Coordinate consistency across platforms (CRM, ERP, field service, data warehouse). Manage crosswalks, identifiers, mappings, and reference lists used across systems.
• Acquisition & Migration Support - Lead master data onboarding for acquired businesses: assessment, mapping, transformation rules, cutover planning, and post-go-live stabilization.
• Continuous Improvement - Identify opportunities to simplify processes, reduce manual effort, and reduce enterprise data debt.

• Education - Bachelor's degree in Information Systems, Data/Analytics, Business, Computer Science, or related field (or equivalent experience).
• 10+ years in master data, data engineering, data governance, data quality, or related roles with domain ownership in a multi-system environment (ERP/CRM/data warehouse).
• Experience creating standards, stewardship workflows, definitions, and governance artifacts (data dictionary, business rules, lineage).
• Strong SQL skillset, familiarity with data modeling concepts (dimensions, hierarchies, conformed data, reference data), and comfort working with ETL/ELT pipelines and embedding data quality checks/controls.
• Experience working across systems like CRM (e.g., Salesforce), ERP (e.g., NetSuite / Syspro / SAP), and analytics platforms (data warehouse/lake, Power BI or similar).
• Data catalog tools, Azure/Azure DevOps (or similar), Excel/Power Query for data QA, and exposure to governance frameworks (DAMA/DCAM). Agile experience a plus.
• Documentation Discipline - Strong ability to produce clear SOPs and definitions that enable consistent execution across teams.