Lead Enterprise Architect

Lead Enterprise Architect

The Lead Enterprise Architect is CDS's technical strategy leader for Adobe Experience Cloud implementations across the data, content, and customer journey domains. This role is the authoritative voice on architectural decisions, platform integration, technical feasibility, and scalability—ensuring that solutions are designed for enterprise performance, reliability, and growth. In an increasingly AI-driven landscape, Enterprise Architects lead the integration of generative AI and predictive capabilities across the Adobe ecosystem, advising clients on how AI accelerates content creation, personalization, decisioning, and operational efficiency.

Lead Enterprise Architects own the end-to-end technical vision for complex, multi-platform implementations. They translate business requirements and technical constraints into robust, scalable architectures that leverage Adobe's ecosystem (Experience Platform, Real-Time CDP, Journey Optimizer, Content Management, GenStudio, Firefly) alongside complementary data and marketing technology stacks. This role partners closely with Engagement Leads to deliver strategic advisory and technical confidence in all engagements, with growing emphasis on AI and generative capabilities as table-stakes in modern customer experience platforms.

Enterprise Architects are proactive technologists who combine deep platform expertise with business acumen and forward-looking AI fluency. They are conversant in modern data architecture, identity resolution, personalization engines, marketing technology orchestration, and generative AI applications (content creation, AI-driven decisioning, predictive analytics). They use architectural frameworks and patterns to reduce complexity, mitigate risk, and accelerate time-to-value while managing responsible AI practices. They mentor and empower solution architects and technical teams, and they stay current on emerging capabilities and best practices across the Adobe ecosystem and adjacent platforms.

Responsibilities include:

• Technical Strategy & Architectural Design
• GenStudio, Firefly & Generative AI Integration
• Platform Expertise & Fluency
• Delivery Enablement & Technical Leadership
• Client Advisory & Thought Leadership
• Efficiency, Innovation & AI-Driven Practice

Qualifications required include:

• 15+ years of technology leadership, including 5+ years leading architectural strategy and technical vision for large accounts or service lines; recognized thought leader and mentor in both traditional platforms and emerging AI/generative capabilities
• Deep, demonstrable expertise in modern data architecture and marketing technology stacks; working knowledge of cloud data warehouses (Snowflake, Databricks, BigQuery, Microsoft Fabric)
• Senior-level fluency in Adobe Experience Platform, Real-Time CDP, Journey Optimizer, or comparable customer experience / CDP platforms; able to lead capability and integration conversations without relying on a technical translator
• Working knowledge of generative AI and large language models (LLMs); practical experience evaluating or implementing generative AI tools; understanding of AI governance, bias mitigation, and responsible AI practices
• Proven track record designing and delivering large-scale, multi-platform integrations for enterprise clients
• Experience leading architecture and design activities in cross-functional delivery teams (architects, engineers, product, client technical teams)
• Strong communication skills: able to translate technical and AI complexity into executive-level narratives and work fluently with technical and non-technical stakeholders
• Excellent critical thinking, structured problem-solving, and ability to balance trade-offs across performance, cost, complexity, time-to-market, and responsible AI governance
• Familiarity with enterprise architectural frameworks and patterns (data mesh, domain-driven design, enterprise integration patterns, etc.)
• Active, hands-on engagement with AI tools as part of your technical practice: research synthesis, documentation, code generation, design, and responsible AI evaluation

The annual base salary range for this position is $136,000 -$219,075. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Additionally, this position is eligible for discretionary incentive compensation.

Benefits available with this position include:

• Medical, vision, and dental insurance
• Life insurance
• Short-term and long-term disability insurance
• 401k
• Flexible paid time off
• At least 15 paid holidays per year
• Paid sick and safe leave
• Paid parental leave

To begin the application process, please click on the "Apply" button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.