MarTech Multi-Solution Architect

Deloitte • Tampa, FL

1d • $163,400 - $322,100

About The Position

As a MarTech Multi-Solution Architect, you will connect clients’ marketing and advertising technology ecosystems across customer data platforms, journey orchestration and decisioning, campaign and content platforms, and adjacent AdTech capabilities, increasingly powered by AI and agentic technologies. You will work across platforms and vendors, advise clients on possible solutions, design composable and future-ready architectures, and lead implementation across MarTech, AdTech, and AI-enabled solutions. The role is suited to a technologist who actively follows emerging platforms and AI capabilities, pilots new tools, and shares that perspective with clients and internal teams.

Deloitte’s Advertising, Marketing & Commerce team designs and implements technology platforms for personalized marketing across digital touchpoints. Its work spans customer-centric B2B and B2C solutions, AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. This position includes leading technical pre-sales and solution delivery, advising on architecture and implementation, and building cross-functional, geographically distributed teams. The role requires an average of 50% travel. The recruiting deadline is January 13, 2027. The stated wage range is $163,400–$322,100, and the employee may also be eligible for a discretionary annual incentive program.

Requirements

• At least 10 years of hands-on experience across marketing technology and/or advertising technology platforms, including implementation experience with at least two major MarTech or AdTech platforms.
• At least 7 years of experience architecting customer data platform solutions, including data modeling, identity resolution, audience segmentation, and activation.
• At least 7 years of experience with identity resolution and identity graph technologies or platforms, including identity matching logic and resolution accuracy.
• At least 5 years of experience leading technical pre-sales or solution architecture engagements, including level-of-effort and cost estimation and roadmap development.
• At least 5 years of experience with AWS, Azure, or GCP cloud platforms supporting MarTech or AdTech workloads.
• At least 2 years of experience with AI or agentic capabilities embedded in MarTech or AdTech platforms.
• Ability to travel an average of 50%, based on assigned work and clients or industries served.
• Genuine curiosity and a pioneer’s mindset toward evolving marketing and advertising technology platforms, tools, and AI capabilities.
• Ability to work independently and collaboratively as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
• Strong interpersonal skills and a professional demeanor.
• Ability to meet deadlines and provide clear guidance to others.

Nice To Haves

• Experience with composable architecture or MACH (Microservices, API-first, Cloud-native, Headless) principles.
• Working knowledge of the AdTech ecosystem, including ad servers, DSPs/SSPs, programmatic buying, identity and addressability solutions, and measurement and attribution.
• Adobe Certified Expert or Professional certification and/or Salesforce certifications spanning CDP, Marketing Cloud, or Agentforce.
• Experience integrating MarTech platforms with AdTech data, identity, or clean-room solutions.
• Experience collaborating with identity partners to expand identity graph coverage and improve enterprise customer data mapping and digital tracking accuracy.
• Track record as an early adopter who has piloted new platforms, tools, or AI capabilities ahead of broad market adoption and driven their adoption within teams or client organizations.
• Experience training or leading offshore or nearshore delivery teams in a Global Delivery model.
• Programming or scripting experience in Python, SQL, or Java.
• Bachelor’s degree in Computer Science, Information Systems, Marketing Technology, or a related technical field.

Responsibilities

• Architect end-to-end solutions across marketing technology platforms to support unified customer profiles, journey orchestration, and omnichannel personalization.
• Bridge MarTech and AdTech ecosystems by integrating customer data platforms with advertising, identity, and measurement platforms for addressable, privacy-safe advertising and cross-channel activation.
• Architect and maintain identity resolution and identity graph solutions, including identity matching logic, resolution accuracy, and data collection strategies.
• Embed AI and agentic capabilities into marketing and advertising ecosystems, including generative content and personalization, AI assistants or copilots, next-best-action capabilities, and agent orchestration; evaluate emerging tools as the landscape evolves.
• Advise clients on future-state architecture, feasibility, level of effort, cost, and possible solutions across composable, API-first MarTech and AdTech stacks.
• Lead technical pre-sales and solutioning, translating business and marketing goals into technical designs, estimates, and phased implementation roadmaps.
• Lead integration and solution delivery across platforms, third-party systems, and client stakeholder groups during technical design and implementation.
• Build and lead cross-functional, geographically distributed teams of architects, engineers, and analysts; establish reusable frameworks, accelerators, and playbooks.
• Evaluate and recommend composable architecture approaches that let clients assemble modular, best-of-breed MarTech and AdTech capabilities.
• Work independently and collaboratively, communicate effectively, build professional relationships, lead projects or workstreams, prioritize multiple tasks, meet deadlines, and provide clear guidance to others.

Benefits

• Broad range of employee benefits; specific benefits are not detailed in the posting.
• May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed