Senior Data Architect

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ISC2

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Cybersecurity • Education • SaaS

ISC2 is a leading organization dedicated to advancing cybersecurity education and certification. They provide various programs for individuals at different stages of their cybersecurity careers, including certification exams, training resources, and leadership development opportunities. ISC2 also advocates for members and promotes diversity within the cybersecurity field by empowering professionals and communities.

201 - 500 employees

Founded 1989

🔒 Cybersecurity

📚 Education

☁️ SaaS

📋 Description

• The Senior Data Architect is the enterprise’s authoritative leader for data architecture, governance, and data activation. • 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. • 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, NoSQL, event-driven, lakehouse, etc.). • Partner with CX, Marketing, Product, and Technology teams to enable segmentation & audience modeling, personalization & progression marketing, marketing automation & orchestration, and 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 various technological platforms. • Collaborate closely with Security, Architecture, Applications, and Infrastructure teams to ensure secure and resilient data use. • Evaluate and introduce emerging data architecture patterns, automation, and governance tooling (e.g., Fabric, lakehouse, semantic models).

🎯 Requirements

• 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.

🏖️ Benefits

• Equal Employment Opportunity Statement • Professional development opportunities