Senior MDM Engineer #3408

Genius Road•Dallas, TX

2d•Hybrid

About The Position

Genius Road is seeking a Senior MDM Engineer to support enterprise data management and governance initiatives for an established organization in a regulated industry. The role focuses on data quality, MDM match, merge, and survivorship rules, and maintaining accurate, reliable business data. The engineer will collaborate with business stakeholders, data stewards, developers, data architects, and other technical teams to investigate and resolve complex data issues. The position is a 12–18+ month contract located in Dallas, Texas, with a hybrid schedule requiring three days onsite. Local candidates only.

Requirements

At least 5 years of data analysis experience, including at least 2 years in Master Data Management (MDM) or data quality.
Advanced SQL skills, including hands-on data profiling and reconciliation.
Experience with Oracle Exadata and SQL Server.
Hands-on experience with an MDM platform, including configuration and implementation.
Experience designing and implementing MDM integrations, ideally across multiple source systems.
Experience supporting MDM initiatives from requirements and design through implementation and ongoing support.
Strong understanding of data governance, ETL, REST APIs, OLAP, and data tracking best practices.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication skills, including the ability to explain technical issues to non-technical stakeholders.
Ability to collaborate across business and technical teams in a fast-paced Agile environment.
Local candidates only.

Nice To Haves

Ab Initio MDM platform experience.
Denodo experience.
Big data experience with Hadoop or MongoDB.
PostgreSQL and cloud experience.
Experience in a regulated industry.

Responsibilities

Profile source data and assess data quality, including completeness, uniqueness, validity, and consistency.
Define and optimize MDM match, merge, and survivorship rules, including thresholds, weights, and exception handling.
Investigate duplicates, false merges, and data anomalies; identify root causes and recommend corrective actions.
Develop dashboards and reports to monitor data quality, match accuracy, duplicate rates, and MDM performance.
Document requirements, data mappings, and acceptance criteria for MDM integrations.
Partner with ETL, replication, DBA, and development teams on data transformations, integrations, and data movement.
Collaborate with data stewards on review queues, unmerge processes, and remediation.
Support data governance initiatives, including data definitions, ownership, lineage, standardization, and documentation.
Assist with production troubleshooting and break/fix activities, and validate data structures, replication, and data derivations.
Communicate findings and recommendations to technical teams and business stakeholders.