Job description

As a MarTech Multi-Solution Architect, you will be the connective tissue across our clients’ marketing and advertising technology ecosystems, spanning customer data platforms, journey orchestration and decisioning, campaign and content platforms, and adjacent AdTech capabilities, all increasingly powered by AI and agentic technologies. You will move fluidly across platforms and vendors rather than anchoring to a single stack, advising clients on the art of the possible, designing composable, future-ready architectures, and leading implementation across MarTech, AdTech, and AI-enabled solutions. This role suits a technologist who treats the pace of change in this space as the appealing part of the job: someone who stays current on emerging platforms and AI capabilities, pilots new tools ahead of the market, and brings that point of view to clients and internal teams alike. Recruiting for this role ends on January 13, 2027 Work you'll do As a MarTech Multi-Solution Architect, you will be responsible for: • Architecting end-to-end solutions across the marketing technology landscape (e.g., Adobe Experience Platform/AEP, Real-Time CDP, Journey Optimizer, Customer Journey Analytics, Target; Salesforce Data Cloud, Marketing Cloud, Agentforce; and comparable platforms) to enable unified customer profiles, journey orchestration, and omnichannel personalization • Bridging MarTech and AdTech ecosystems by integrating CDPs with ad servers, DSPs/SSPs, identity resolution, and measurement/attribution platforms to enable addressable, privacy-safe advertising and cross-channel activation • Architecting and maintaining identity resolution (IDR) and identity graph solutions, including identity matching logic, resolution accuracy, and data collection strategies that feed a unified, enterprise-wide view of the customer • Embedding AI and agentic capabilities into client marketing and advertising ecosystems, including generative content and personalization, AI assistants/copilots, and next-best-action or agent orchestration, and continuously evaluating emerging tools as the landscape evolves • Advising clients on future-state architecture design, feasibility, level of effort, cost, and the art of the possible, across composable, API-first MarTech and AdTech stacks • Leading technical pre-sales and solutioning (hunter/farmer cycles), translating business and marketing goals into technical designs, estimates, and phased implementation roadmaps • Leading integration and solution delivery across multiple platforms, third-party systems, and client stakeholder groups during technical design and implementation • Building and leading high-performing, cross-functional, geographically distributed teams of architects, engineers, and analysts, and establishing reusable frameworks, accelerators, and playbooks • Evaluating and recommending composable architecture approaches that enable clients to assemble modular, best-of-breed MarTech/AdTech capabilities rather than defaulting to a single monolithic platform A successful candidate would possess these skills: • Genuine curiosity and a pioneer's mindset: energized, not unsettled, by a marketing and advertising technology landscape that is constantly introducing new platforms, tools, and AI capabilities • Ability to work independently and collaborate 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 and dynamic environment • Strong interpersonal skills and professional demeanor • Ability to meet deadlines • Ability to provide clear guidance to others The team Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. Qualifications Required: • 7+ 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 (e.g., Adobe Experience Cloud, Salesforce Marketing Cloud/Data Cloud, mParticle, Segment, Tealium, or comparable) • 5+ years of experience architecting Customer Data Platform (CDP) solutions, including data modeling, identity resolution, audience segmentation, and activation • 5+ years of experience with identity resolution (IDR) and identity graph technologies or platforms (e.g., Acxiom, LiveRamp, or similar), including identity matching logic and resolution accuracy • 3+ years of experience leading technical pre-sales or solution architecture engagements, including level-of-effort, cost estimation, and roadmap development • 3+ years of experience with cloud platforms (AWS, Azure, or GCP) supporting MarTech/AdTech workloads • 1+ years of experience with AI/agentic capabilities embedded in MarTech or AdTech platforms (e.g., AI assistants/copilots, generative personalization, agent orchestration) • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. • Limited immigration sponsorship may be available. Preferred: • Experience with composable architecture / MACH (Microservices, API-first, Cloud-native, Headless) principles • Working knowledge of the AdTech ecosystem, including ad servers, DSPs/SSPs, programmatic buying, identity/addressability solutions, and measurement and attribution • Adobe Certified Expert/Professional and/or Salesforce certifications spanning CDP, Marketing Cloud, or Agentforce • Experience integrating MarTech platforms with AdTech data, identity, or clean-room solutions (e.g., LiveRamp, The Trade Desk, Google Marketing Platform) • Experience collaborating with identity partners to evolve identity graph coverage and improve enterprise-wide customer data mapping and digital tracking accuracy • A demonstrated track record as an early adopter, piloting new platforms, tools, or AI capabilities ahead of broad market adoption and driving 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 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 - $265,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #Customer_US #AMC_US

Requirements

Must-haves

Recruiting for this role ends on January 13, 2027
Work you'll do
As a MarTech Multi-Solution Architect, you will be responsible for:
Advising clients on future-state architecture design, feasibility, level of effort, cost, and the art of the possible, across composable, API-first MarTech and AdTech stacks
Leading technical pre-sales and solutioning (hunter/farmer cycles), translating business and marketing goals into technical designs, estimates, and phased implementation roadmaps
Leading integration and solution delivery across multiple platforms, third-party systems, and client stakeholder groups during technical design and implementation
Building and leading high-performing, cross-functional, geographically distributed teams of architects, engineers, and analysts, and establishing reusable frameworks, accelerators, and playbooks
Evaluating and recommending composable architecture approaches that enable clients to assemble modular, best-of-breed MarTech/AdTech capabilities rather than defaulting to a single monolithic platform
A successful candidate would possess these skills:
Genuine curiosity and a pioneer's mindset: energized, not unsettled, by a marketing and advertising technology landscape that is constantly introducing new platforms, tools, and AI capabilities
Ability to work independently and collaborate 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

Nice-to-haves

Experience with composable architecture / MACH (Microservices, API-first, Cloud-native, Headless) principles
Working knowledge of the AdTech ecosystem, including ad servers, DSPs/SSPs, programmatic buying, identity/addressability solutions, and measurement and attribution
Adobe Certified Expert/Professional and/or Salesforce certifications spanning CDP, Marketing Cloud, or Agentforce
Experience integrating MarTech platforms with AdTech data, identity, or clean-room solutions (e.g., LiveRamp, The Trade Desk, Google Marketing Platform)
Experience collaborating with identity partners to evolve identity graph coverage and improve enterprise-wide customer data mapping and digital tracking accuracy
A demonstrated track record as an early adopter, piloting new platforms, tools, or AI capabilities ahead of broad market adoption and driving 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
#Customer_US

Application prep

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