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Domain Data Management Specialist

United States 60.00 - 65.00 USD / Hour · Job Posted April 01, 2026
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Job Description

We’re seeking an experienced Program Manager to help shape and mature my client's domain-oriented data ecosystem. In this role, you’ll partner closely with domain owners, product teams, and platform engineering to define data models, establish governance, and build high-quality, reusable data products that accelerate analytics, ML, and operational use cases across the business. If you’re passionate about modern data architecture, domain-driven design, and building scalable foundations for enterprise data, this is an opportunity to have a high-impact seat at the table.

Job Responsibility

  • Partner with domain owners and product teams to understand business context, define data requirements, and translate them into domain data models and contracts
  • Establish and document data creation processes, including source-of-truth identification, event/entity modeling, and schema evolution strategies
  • Manage domain data assets in the data catalog, including metadata, lineage, ownership, SLAs/SLOs, and data product documentation
  • Collaborate with platform engineering to improve ingestion frameworks, transformation tooling, orchestration, and observability
  • Define and enforce data governance standards—access controls, PII handling, retention, compliance, and role-based permissions
  • Create reusable templates and patterns for common data and modeling use cases
  • Provide clear and proactive communication: status updates, risk identification, documentation of decisions, and trade-offs

Requirements

  • 5+ years of hands-on experience in data engineering or data management, with strong exposure to domain-oriented design
  • Experience with modern data platforms and lake/lakehouse architectures
  • Familiarity with streaming technologies and event-driven data models
  • Proven ability to understand, analyze, and dissect complex, existing data models
  • Strong understanding of metadata management, data catalogs, and lineage
  • Solid grasp of governance, security, privacy, PII handling, and compliance frameworks (GDPR/CCPA)
  • Excellent written and verbal communication skills—comfortable with technical and non-technical audiences

Nice to have

  • Experience implementing data products within a domain-driven architecture or data mesh environment
  • Background supporting analytics engineering or ML feature pipelines
  • Prior consulting/contracting experience with the ability to operate independently
  • Proven stakeholder recognition for clarity, responsiveness, and business value delivered

What we offer

  • medical
  • dental
  • 401(k)
  • direct deposit
  • commuter benefits

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