dentsu
Lead Enterprise Architect
USA – Remote – Texas – Central Time
Sponsorship not specified$136k-$219kDetected 13 days ago
Code ReviewBigQuerySnowflakeDatabricksGCPMachine LearningData ScienceLLMsRoadmappingResearchLeadershipCommunicationProblem SolvingCritical ThinkingMentoring
About the role
- 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
- Design scalable, resilient solutions that balance functionality, performance, cost, and time-to-market; document architectural decisions and trade-offs clearly, including AI readiness and governance considerations
- Maintain hands-on familiarity with AEC configuration, APIs, connectors, and AI features; stay fluent enough to evaluate feasibility and guide implementation approaches
- Serve as the escalation point and technical authority for complex implementation challenges, including novel uses of generative AI; drive resolution of architectural, technical, or AI-readiness risks
- Partner with solution architects, engineers, and delivery leads to ensure designs are implemented as intended, quality standards are met, and AI-driven components deliver expected business outcomes
- Conduct design reviews, code reviews (where appropriate), and architecture audits to ensure adherence to standards and best practices, including AI model governance and content authenticity controls
- Bring outside-in perspective from the market, partner ecosystem, industry trends, and emerging AI capabilities into client conversations
- Develop and share client-facing technical narratives, architecture diagrams, and capability roadmaps that link to business outcomes, including AI-driven efficiency and personalization gains
Requirements
- Deep, demonstrable expertise in modern data architecture and marketing technology stacks
- working knowledge of cloud data warehouses (Snowflake, Databricks, BigQuery, Microsoft Fabric)
- Working knowledge of generative AI and large language models (LLMs)
- practical experience evaluating or implementing generative AI tools
- Excellent critical thinking, structured problem-solving, and ability to balance trade-offs across performance, cost, complexity, time-to-market, and responsible AI governance
- Experience architecting AI applications: model governance, responsible AI frameworks, bias detection and mitigation, explainability
- Experience architecting identity resolution and data governance frameworks
- Published thought leadership on generative AI, responsible AI practices, or AI in marketing/customer experience contexts
- Experience in a consultancy, systems integrator, or enterprise software services firm
- Track record mentoring junior architects or leading architectural communities of practice
Nice to have
- Preferred and Differentiators
Skills
- Proven track record designing and delivering large-scale, multi-platform integrations for enterprise clients
- Adobe Certified Professional or Advanced certification (Experience Platform, Real-Time CDP, Journey Optimizer, Analytics, GenStudio)
- Hands-on experience with Adobe GenStudio, Firefly, or other Adobe AI/generative capabilities
Compensation
- The annual base salary range for this position is $136,000 -$219,075.
Benefits
- Lead business review discussions on technical health, capability expansion, AI readiness, and strategic roadmap alignment
This listing is sourced directly from dentsu's careers page and normalized into a canonical job model.