We are seeking an Enterprise MDM Architect to lead the design and implementation of our Master Data Management strategy across core domains. This role will establish identity resolution, golden record architecture, and governance standards. Experience with Reltio is preferred, but strong end-to-end MDM architecture experience in any leading platform is welcome.
ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
Job Responsibilities:
Lead the design and implementation of Petco’s enterprise MDM strategy across Customer, Pet, Product, and related domainsDefine golden record architecture, match/merge logic, survivorship rules, and identity resolution frameworksEstablish enterprise data governance, attribute-level source-of-authority and stewardship processesEnsure consistent, trusted master data across POS, eCommerce, Mobile, CRM, Loyalty and Analytics platformsDesign scalable real-time and batch integration patterns (APIs, event-driven architecture)Partner with Engineering, Product, Retail Systems, and Analytics leaders to enable omnichannel experiences and Customer/Pet 360 initiatives
Basic Qualifications:
15+ years of experience in Data Architecture, MDM, or Enterprise Data PlatformsProven experience leading end-to-end MDM implementations across multiple domainsStrong expertise in identity resolution, match/merge strategies, and survivorship logicExperience establishing enterprise data governance and stewardship frameworksHands-on experience with Reltio preferred (or Informatica, IBM, SAP MDG, etc.)Strong understanding of real-time integration patterns (APIs, streaming, pub/sub)Ability to influence senior stakeholders and drive cross-functional alignment
Preferred Qualifications:
Experience in retail, omnichannel commerce, or consumer technologyExperience designing Customer 360 or Product Master modelsFamiliarity with modern cloud data platforms (GCP, BigQuery, Snowflake)Experience supporting personalization, loyalty, or analytics use cases
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
