About The Position

The Lead MDM Engineer will lead the implementation and architecture of master data management technology solutions, including data modeling, data integration, match/merge rules, and ETL processes. The role includes leading and mentoring MDM professionals, managing project deliverables, and collaborating with business leaders and IT to translate requirements into technical design specifications. The engineer will oversee data quality rules, KPI monitoring, and issue resolution, while applying expertise in master data governance, data architecture, and complex data or governance programs. The position is onsite in Austin, Texas; relocation will work. It is a contract role for 12+ months.

Requirements

  • Proven track record managing complex data, MDM, or governance projects.
  • Strong proficiency in Agile/Scrum methodologies and related tools.
  • Deep understanding of master data management principles, data governance frameworks, and large-scale data quality improvement initiatives.
  • Strong SQL and Python expertise, including experience querying large, complex data sets.
  • Hands-on experience with data profiling, source system analysis, and KPI definition.
  • Understanding of data architecture principles and data lineage, and experience maintaining data dictionaries and definitions.
  • Ability to navigate a matrixed organization, work across time zones, build stakeholder relationships, and drive consensus among competing priorities.
  • Strong problem-solving skills and a track record of delivering results on time and within budget in large, complex programs.

Nice To Haves

  • Familiarity with database architecture, hierarchies, and enrichment.
  • Experience with at least one analytics platform, such as Hadoop, Spark, or Snowflake.
  • Experience with BI tools such as Tableau, ThoughtSpot, or Business Objects.
  • Exposure to Collibra, Data Hub, or equivalent governance and data quality tools.

Responsibilities

  • Design and implement MDM technology solutions, including data models, integrations, match/merge rules, and ETL processes.
  • Lead, mentor, and manage a team of MDM professionals, including data analysts and stewards; set performance expectations and manage project deliverables.
  • Collaborate with Sales, Finance, Marketing, and IT to translate business requirements into technical design specifications.
  • Oversee establishment of data quality rules, monitor KPIs, and resolve data quality issues.
  • Capture and document requirements, assess business impacts and tradeoffs, and align stakeholders through interviews, workshops, and requirements harmonization.
  • Deliver complex programs on time and within budget.
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