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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Architect - Customer Domain - **Company:** Expleo Technology USA, Inc. - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $205,920.0 - $226,720.0 - **Contract:** Permanent contract - **Skills:** Third Normal Form, Artificial Intelligence, Amazon Web Services, Data Analysis, Software as a Service, Information Systems, Customer Data Management, Data Architecture, Data Governance, Data Infrastructure, Dataspaces, Metadata Repositories, Information Technology, Operational Systems, Data Management, User Identification, Domain Model, Databricks - **Published:** June 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=eaae519133f90066 ## About the Role Do you have experience in Data Architecture Design (Architecture design skills)?, Do you have a Bachelor's degree?, * 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 and AI/ML use cases with high-quality, well-modeled data * Exposure to AWS-native architectures and Databricks-based data platforms Education & Certifications You Need * Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience) * Advanced data architecture or cloud certifications are a plus ## Description 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 ## Related Videos - [How to Domain Model – An example from manufacturing](https://www.wearedevelopers.com/videos/742-how-to-domain-model-an-example-from-manufacturing) - [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/videos/1448-harnessing-the-power-of-open-source-s-newest-technologies) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)