Senior Data Architect - Customer Domain

Overview

Location:

Hybrid - Denver, CO or Minneapolis-St. Paul, MN (1 day onsite/week expected)
Engagement Type:
Contract (High likelihood of extension)

Build the Customer Data Foundation That Everything Else Depends On

Are you passionate about designing durable, trusted customer data models that power analytics, modernization, and AI at scale? Trissential is partnering with a large, regulated enterprise to bring on a Senior Data Architect - Customer Domain to lead the evolution of a single, authoritative customer data model supporting CIS modernization and enterprise data‑as‑a‑product initiatives.

This is a highly visible, hands‑on architecture role where your work becomes the backbone for how millions of customers are understood, served, and analyzed across the enterprise.

What's In It for You?

* Architectural Ownership & Influence - Be the authoritative owner of the enterprise customer domain model, shaping how customer data is defined and consumed across platforms

* Enterprise‑Scale Impact - Support millions of customers and long‑lived operational systems in a complex, regulated environment

* Data‑as‑a‑Product Leadership - Design customer data products with clear ownership, contracts, and lifecycle management

* Modern Data Ecosystem - Work across AWS‑native systems, SaaS platforms, and a Databricks‑based enterprise data fabric

* Strategic Visibility - Partner closely with engineering, analytics, governance, and architecture leaders to drive consistency and trust in customer data

Your Role & Responsibilities

Customer Data Model Ownership

* 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

Data Product Leadership

* 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

Architecture & Platform Alignment

* 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

* Participate in architecture governance forums and provide clear recommendations and rationale

Governance, Quality & Enablement

* 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

Skills & Experience You Should Possess

* 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

Bonus Points If You Have

* Experience in regulated or complex industries (utilities, finance, healthcare, telecommunications)

* Background in customer master data management, identity resolution, or cross‑system harmonization

* Experience supporting analytics…