The Opportunity
This Senior Enterprise Architect role offers an outstanding opportunity to work as a deep consulting expert and trusted advisor to enterprise clients across banking, telco, airlines, hospitality, and retail — enabling and guiding customers through the design, delivery, and adoption of best-in-class MarTech solutions built on the full Adobe Experience Cloud stack. You will bring a strong, hands-on grip across Adobe solutions — spanning customer data platforms (CDP), journey orchestration, campaign management, content management, analytics, and personalization — and translate that depth into architecture and guidance that clients can act on with confidence.
You will be the technical anchor for complex, multi-workstream engagements: shaping solution architecture, resolving the hardest technical and business trade-offs, and coaching client teams and delivery pods so that the value of their Adobe investment compounds well beyond go-live. You will also help mature the practice itself — building reusable accelerators, mentoring consultants, contributing to pre-sales and RFP solutioning, and bringing AI-powered tools and agentic thinking into how the team designs and delivers.
What you’ll do
- Act as a deep consulting expert and go-to authority across the Adobe Experience Cloud portfolio — including Adobe Experience Platform, Adobe Experience Manager, Adobe Journey Optimizer, Adobe Real-Time CDP, Adobe Campaign, Adobe Analytics, and Adobe Target — with the depth to architect, troubleshoot, and optimize across the full stack.
- Enable and guide customers directly — running architecture workshops, discovery sessions, and hands-on enablement so client teams understand not just what was built, but how to extend, operate, and get lasting value from it.
- Own end-to-end solution architecture for complex, multi-workstream engagements spanning CDP, journey orchestration, campaign management, and content management, making the calls that keep programs technically sound and on track.
- Translate deep marketing domain expertise — across sectors such as banking, telco, airlines, and hospitality — into data models, segmentation strategies, decisioning frameworks, and personalization use cases customers can operationalize.
- Act as a trusted advisor to client stakeholders, proactively identifying risks and gaps, resolving the hardest technical and business trade-offs, and steering engagements through ambiguity to a successful, zero-escalation go-live.
- Mentor and guide delivery consultants and architects, sharing consulting best practices and Adobe product depth so the wider team can deliver at a consistently high bar.
- Contribute to pre-sales and RFP solutioning, shaping technical proposals and architecture recommendations that win and expand strategic Adobe engagements.
- Identify opportunities to deepen client adoption of the Adobe stack, translating strong delivery outcomes into cross-sell, upsell, and expansion conversations.
- Bring AI-powered tools and agentic thinking into consulting delivery — using co-pilots, generative assistants, and automation to accelerate solution design, documentation, and client enablement.
What you need to succeed
- 15+ years of hands-on consulting experience delivering enterprise SaaS or MarTech solutions, with deep, demonstrable expertise across the Adobe Experience Cloud stack — CDP, journey orchestration, campaign management, content management, analytics, and personalization.
- A strong track record as a client-facing consultant who enables and guides customers — not just building solutions, but teaching teams how to run, extend, and get value from them long after go-live.
- Proven ability to own enterprise-scale architecture end-to-end, including the judgment to navigate ambiguous requirements, resolve cross-team trade-offs, and keep complex programs on track to a clean go-live.
- Deep marketing domain expertise in at least one industry vertical — banking/financial services, telecommunications, airlines, hospitality, or retail — with a demonstrated ability to connect business marketing strategy to technical architecture.
- Experience mentoring consultants or architects, and contributing to pre-sales or RFP solutioning for enterprise Adobe or MarTech opportunities.
- Working knowledge of data science, machine learning, or AI/agentic concepts, and demonstrated experience applying AI-powered tools to accelerate consulting delivery.
- Excellent consulting fundamentals: stakeholder management, workshop facilitation, presentation, and written and verbal communication skills, with the presence to guide client executives as well as technical teams.
- An outcomes-driven approach, strong integrity, and a demonstrated dedication to customer success.
- Bachelor's degree required; a Master's degree in Data Science, Machine Learning, or a related field is a plus.
- Travel up to 50% of the time.
Bonus Experience
- Experience designing agentic AI or autonomous monitoring/analytics solutions for marketing technology environments.
- Experience with data ingestion pipelines, event streaming (e.g., Kafka, Kinesis), or ETL/ELT tools used in large-scale marketing data environments.
- Hands-on experience with tag management and data collection layers (e.g., Adobe Launch, Tealium iQ, Google Tag Manager).
- Practical, advanced use of AI coding assistants, prompt engineering, or LLM-driven workflow automation in a professional or client-facing context.
- Hands-on experience writing or debugging in scripting or programming languages such as JavaScript/TypeScript, Java, or Python for data transformation, querying, API integrations, or workflow automation.
- Relevant Adobe certifications (e.g., Adobe Experience Platform, Adobe Journey Optimizer, Adobe Real-Time CDP).
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
