Senior Data Architect – Customer Domain

Role Overview

• 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

• 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

Tech Stack

• Cloud

Benefits

• 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