Senior Data Engineer, MDM

TriMark•Mansfield, MA

6d•Hybrid

About The Position

The Sr. MDM Engineer – is responsible for designing, implementing, and supporting enterprise master data solutions with STIBO STEP while leveraging strong data analysis and engineering capabilities to ensure data integrity, quality, and cross-system alignment. The position reports to the Director, Data and plays a critical role in translating governance-approved business requirements into technically sound, high-quality platform enhancements and integrations.

Requirements

Bachelor's degree in information technology, Computer Science, Engineering, or related field (or equivalent experience).
10–12+ years of experience in Master Data Management or enterprise data platforms.
Minimum 5+ years of hands-on experience with STIBO STEP (data modeling, workflows, configuration, integrations).
Strong experience in data modeling, workflow configuration, and business rule implementation.
Strong SQL skills with the ability to query, validate, and reconcile enterprise datasets.
Experience using Python (or similar scripting language) for data analysis, automation, or integration support.
Experience performing data profiling and root cause analysis.
Strong understanding of relational databases and data structures
Experience designing and supporting system integrations (REST APIs, batch processing, data interfaces).
Experience managing technical backlogs and delivering enterprise-scale solutions.
Strong analytical, problem-solving, and impact assessment skills.
Excellent written and verbal communication skills

Nice To Haves

Experience in Retail, Distribution, or other product-centric industries.
Experience managing Product, Customer, or Supplier data domains within an MDM environment.
Familiarity with eCommerce platforms and enterprise integration ecosystems.
Experience working within Agile/Scrum delivery frameworks.
Knowledge of data governance frameworks and data quality management principles.
Experience working with enterprise data warehouses or analytics platforms.
Experience supporting BI/reporting teams with master data analysis.
Familiarity with data quality monitoring tools and frameworks.

Responsibilities

Serve as the internal SME for STIBO STEP, providing guidance on configuration, architecture, and best practices.
Ensure solutions align with enterprise architecture, data governance standards, and MDM strategy.
Assess cross-domain and cross-system impacts of proposed changes.
Translate approved business requirements into detailed technical design specifications.
Design and implement: o Data model enhancements (object types, attributes, hierarchies, reference types) o Business rules and validation logic o Workflows and lifecycle management o Role-based security configurations
Evaluate domain impacts, workflow dependencies, and integration of touchpoints prior to implementation.
Maintain clear and comprehensive technical documentation.
Utilize SQL, Python or similar to analyze, validate, and reconcile master data across STIBO and connected systems.
Perform data profiling, impact analysis, and root cause analysis to support governance decisions.
Leverage Python (or similar scripting languages) for data validation, automation, and analytical tasks.
Support data quality monitoring by identifying anomalies, inconsistencies, and integrity gaps.
Assist cross-functional teams with data extracts, transformation logic validation, and technical analysis.
Validate integration of payloads and downstream data consumption accuracy.
Partner with Business Analysts to refine requirements and define technical tasks.
Participate in backlog grooming, estimation, and prioritization activities.
Design and implement STIBO enhancements and support release activities in partnership with the Director of MDM Technical.
Ensure quality, scalability, and maintainability of solutions.
Identify and design integration touchpoints between STIBO and upstream/downstream systems (e.g., ERP, eCommerce, data warehouses, 1WorldSync, AutoQuote).
Support development and modification of APIs, data imports/exports, and integration services.
Collaborate with integration teams to ensure reliable data synchronization and performance.
Conduct unit and integration testing.
Support user acceptance testing (UAT) and business validation.
Troubleshoot and resolve technical and data-related issues.
Ensure adherence to data quality and performance standards.
Collaborate effectively with cross-functional teams, including Data Governance, Architecture, and Business stakeholders.
Act as a technical escalation point for complex MDM issues.