need Lead MDM Engineer - $60/hr c2c -Onsite in TX

[Shruthi M]

4/28/2026

J223813

Austin, Tx (100% Onsite)

Lead MDM Engineer

60

• Data Governance • MDM Strategy • Data Integration • Team Leadership • Agile Methodologies

• What experience do you have with data governance? • Can you describe your approach to implementing MDM solutions? • How do you ensure data quality in your projects? • What strategies do you use for team leadership and mentoring? • How do you handle cross-functional collaboration with business leaders?

***Must be submitted with LinkedIn Profile*** Lead MDM Engineer Key responsibilities Implementation Architecture Design and implement MDM technology solutions, including data modeling, data integration, match/merge rules, and ETL processes. Team Leadership Lead, mentor, and manage a team of MDM professionals (data analysts, stewards), setting performance expectations and managing project deliverables. Cross Functional Collaboration Partner with business leaders (Sales, Finance, Marketing) and IT to translate business requirements into technical design specifications. Data Quality Monitoring Oversee the establishment of data quality rules, monitoring KPIs, and resolving data quality issues. Change Management Technical Lead Expertise Proven track record of managing complex data, MDM, or governance projects. Strong proficiency in AgileScrum methodologies and tools (e.g., Jira, Confluence, Smartsheet, MS Project). Master Data Governance Deep understanding of master data management principles, data governance frameworks, and large-scale data quality improvement initiatives. Proven ability to capture document requirements, assess business impacts and tradeoffs, and align stakeholders through interviews, workshops, and requirements harmonization. Technical Data Skills Deep familiarity with DB data architecture, hierarchies, and enrichment preferred. Hands-on experience with data profiling, source system analysis, and KPI definition. Strong SQL Python expertise and experience querying large, complex data sets. Experience with at least one analytics platform (e.g., Hadoop, Spark, Snowflake). Experience with BI tools such as Tableau, ThoughtSpot, or Business Objects. Data Architecture Quality Understanding of data architecture principles, data lineage, and experience maintaining data dictionaries/definitions. Tools Platforms Exposure to tools such as Collibra, Data Hub (or equivalent for governance and data quality). Collaboration / Communication Ability to navigate a matrixed organization, work across time zones, drive consensus among competing priorities, and build strong stakeholder relationships. Execution Accountability Strong problem-solving skills with a track record of delivering results on time and within budget in large, complex programs.

Shruthi M

Sierra 

Lead Recruiter