Senior Data Architect - Customer Domain
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Job 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
Requirements
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
Benefits & conditions
Pulled from the full job description
- 401(k)
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Health savings account
- Dental insurance, At Trissential, we value expertise, ownership, and collaboration. By joining our client’s team, you’ll work on high-impact initiatives while enjoying flexibility and strong support.
- Competitive Compensation -$99-$109 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography
- 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
- 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
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