Senior Data Architect – Customer Domain

Expleo•Aurora, CO

3d•$99 - $109•Hybrid

About The Position

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.

Requirements

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
Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
Authorized to work in the United States

Nice To Haves

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 and AI/ML use cases with high‑quality, well‑modeled data
Exposure to AWS‑native architectures and Databricks‑based data platforms
Advanced data architecture or cloud certifications are a plus

Responsibilities

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
Participate in architecture governance forums and provide clear recommendations and rationale
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