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Trissential

Senior Data Architect – Customer Domain

Trissential

Senior Data Architect designing durable and trusted customer data models for analytics, modernization, and AI at Trissential. Leading the evolution of a core enterprise customer data model for a regulated enterprise.

Posted 6/8/2026contractDenver • Colorado, Minnesota • 🇺🇸 United StatesSenior💰 $99 - $109 per hourWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Own and evolve the enterprise customer domain model across conceptual, logical, canonical, and physical layers
  • Define canonical customer entities, identifiers, hierarchies, and relationships across CRM, billing, CIS, and downstream systems
  • Govern model evolution to support new business capabilities while preventing redundancy and fragmentation
  • Resolve semantic conflicts and enforce consistent customer definitions enterprise‑wide
  • Own customer‑centric data products including curated datasets, views, and domain data assets
  • Define and maintain data product contracts (schemas, SLAs, quality rules, access patterns, and usage expectations)
  • Partner with engineering and analytics teams to ensure data products are production‑ready, discoverable, and reusable
  • Design customer data products to support analytics, reporting, and AI/ML use cases
  • Ensure alignment with enterprise data platform standards (lakehouse, catalogs, governance frameworks)
  • Guide ingestion, transformation, and persistence patterns to preserve model integrity and performance
  • Collaborate with application, integration, and analytics architects to embed consistent customer data across solutions
  • Define and enforce data quality standards, validation rules, and stewardship processes
  • Partner with data governance teams on metadata, lineage, classification, and access controls
  • Enable downstream teams through clear documentation, diagrams, and reference models
  • Act as a subject‑matter expert for customer data during design reviews and delivery engagements

Requirements

What you’ll need
  • 8+ years of experience in data architecture or advanced data modeling roles
  • Deep expertise in conceptual, logical, canonical, and physical data modeling (3NF, dimensional, hybrid)
  • Proven experience owning and evolving a core enterprise domain model (Customer, Party, Account, etc.)
  • Strong understanding of data‑as‑a‑product principles including ownership, contracts, and lifecycle management
  • Hands‑on experience with modern data platforms (cloud, lakehouse, data catalogs)
  • Excellent communication skills with the ability to explain complex models to technical and non‑technical audiences

Benefits

Comp & perks
  • Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele‑health, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off – Offers paid time away from work
  • Competitive Compensation – Final compensation is determined based on skill alignment, years of experience, and fair, market‑based rates by geography
  • Career Growth – Opportunities to work on enterprise modernization, data products, and AI‑ready architectures
  • Supportive Culture – Collaborative teams that value clarity, quality, and long‑term thinking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data architecturedata modelingconceptual data modelinglogical data modelingcanonical data modelingphysical data modelingdata quality standardsdata product contractsdata transformationdata governance
Soft Skills
communication skillscollaborationproblem-solvingsubject-matter expertisedocumentation