Sr. Data Architect

Overview

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The Senior Data Architect is the enterprise’s authoritative leader for data architecture, governance, and data activation. With a data strategy and governance framework now established, this role is accountable for turning strategy into execution—operationalizing governance, maturing data practices, and advancing the data lake into a governed, insight-driven, activation-ready platform.

This leader oversees the Data team (DBA and Data Engineer) and will define the next phase of the organization’s data ecosystem—powering enterprise analytics, CDP activation, personalization, segmentation, AI/LLM enablement, marketing automation, reporting, and secure data use across the customer/member lifecycle.

Success means shifting data from a passive asset to a scalable, trusted, revenue- and experience-driving capability.

• Own, operationalize, and enforce the enterprise-wide data governance framework, standards, and stewardship model.
• Define policies for classification, access, retention, lineage, and lifecycle management.
• Lead or co-lead governance forums to drive adoption and accountability.
• Ensure compliance with GDPR, CCPA/CPRA, and privacy/security standards.

• Define and maintain the enterprise data architecture roadmap across warehouse, lake, CDP, Fabric, and analytical platforms.
• Advance the data lake into a governed, curated, high-quality platform optimized for analytics and activation.
• Architect conceptual, logical, and physical data models aligned to business needs.
• Guide storage and architecture decisions (relational, dimensional, No
  
  SQL, event-driven, lakehouse, etc.).

• Partner with CX, Marketing, Product, and Technology teams to enable:
• Segmentation & audience modeling
• Personalization & progression marketing
• Marketing automation & orchestration
• CDP activation & identity resolution
• Ensure data quality, availability, lineage, and readiness for reporting and advanced analytics.

• Serve as the primary architectural authority for data across CRM, LMS, ERP, ecommerce, CMS, CDP, BI, and marketing technologies.
• Collaborate closely with Security, Architecture, Applications, and Infrastructure teams to ensure secure and resilient data use.
• Represent data architecture in ARB/design authority processes.

• Enable AI/ML and LLM use cases by ensuring governed, high-quality data pipelines and model-ready datasets.
• Partner with data science and product teams to support generative AI, recommendation engines, and predictive analytics.
• Lead the design and enablement of self-service analytics and data applications, empowering business users to securely access, explore, and activate data.
• Evaluate and introduce emerging data architecture…