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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.

Data Governance & Policy Ownership

• 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.

Data Architecture Strategy & Execution

• 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, NoSQL, event-driven, lakehouse, etc.).

Data Enablement for Analytics, CDP & Personalization

• 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.

Enterprise Collaboration & Governance Influence

• 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.

Advanced Capabilities, LLMs & Self-Service Enablement

• 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 patterns, automation, and governance tooling (e.g., Fabric, lakehouse, semantic models).

Perform other miscellaneous duties, as needed.

• High integrity in handling confidential data and regulatory requirements.
• Demonstrated passion for data and data-driven business models.

• Lead and mentor the DBA and Data Engineer to establish modern engineering practices.
• Oversee ingestion, transformation, pipelines, ETL/ELT, monitoring, and optimization.
• Manage lifecycle: provisioning, upgrade, archival, and decommissioning of data systems.

• Proven ability to operationalize data strategies, not just design them.
• Certifications in cloud, data architecture, or governance frameworks are an asset.
• Strong SQL expertise; familiarity with NoSQL and modern data architectures.
• Familiarity with LLM data requirements: grounding, retrieval, vectorization, data governance for AI/ML, and model readiness pipelines.
• Strong business acumen—able to translate strategy into data capabilities.
• Excellent stakeholder influence and communication skills.

• Bachelor’s degree in Computer Science, Data Management, IT, or related field. Will consider candidates with a high school diploma and 10 years of experience in data architecture; 7 years in a lead or enterprise data architect role.
• 7+ years in data architecture; 5+ years in a lead or enterprise data architect role.
• Experience governing enterprise data models, MDM, metadata, and stewardship programs.
• Hands-on experience designing and governing data lakes, warehouses, and lakehouse architectures.
• Leadership or mentorship experience with data teams (engineers, DBAs, analysts).
• Experience with cloud platforms (Azure, AWS, or GCP).
• Experience with Microsoft Fabric, Power BI, or lakehouse architecture highly desirable.
• Programming experience (Python, Java, C#, etc.).
• Experience enabling self-service analytics platforms or applications (e.g., semantic models, governed datasets, business-friendly data access layers).
• Experience integrating data across CRM, ERP, LMS, ecommerce, CDP, or marketing ecosystems.
• Exposure to personalization, segmentation, progression marketing, or data activation workflows.
• Experience supporting AI/ML or LLM-driven solutions preferred.
• Experience with GDPR/CCPA and privacy-by-design.
• Experience in membership, association, or subscription-driven businesses, preferred.
• Experience with ecommerce data and digital experience analytics, preferred.

• Ability to travel up to 10% of time, may also include overnight and international travel.
• Work normal business hours and extended hours when necessary.
• Remain in a stationary position, often standing or sitting, for prolonged periods.
• Regular use of office equipment such as a computer/laptop and monitor computer screens.
• Dexterity of hands and fingers to operate a computer keyboard, mouse, and other computer components. 

All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic as protected by applicable law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.