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Senior Data Architect – Customer Domain
TrissentialSenior 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
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data architecturedata modelingconceptual data modelinglogical data modelingcanonical data modelingphysical data modelingdata quality standardsdata product contractsdata transformationdata governance
Soft Skills
communication skillscollaborationproblem-solvingsubject-matter expertisedocumentation
Tools & Technologies
cloud platformslakehousedata catalogsCRM systemsbilling systemsCIS systems
Industry Keywords
enterprise domain modeldata-as-a-productdata lineagedata stewardshipanalyticsAI/ML use cases
Tech Stack
Tools & technologiesCloud
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