Identity Graph Architect, Senior Consultant

Deloitte • Tampa, FL

3d • $110,700 - $218,300

About The Position

Deloitte is hiring a Senior Consultant in its Customer team, within Package and Technology Enablement. The team combines customer strategy, analytics, Generative AI, technology, creativity, and managed services to help organizations improve customer experiences and drive growth and customer value. Its Advertising, Marketing and Commerce practice designs and implements personalized marketing technology platforms across digital touchpoints, including AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration.

The Identity Graph Architect role focuses on designing, implementing, and optimizing enterprise identity resolution solutions to create a unified customer view across data touchpoints. The architect helps maintain and evolve identity graphs with identity partners, designs data collection using tagging solutions, translates business use cases into scalable architectures, and supports source traceability and data quality monitoring. The role also involves privacy and compliance collaboration, cross-functional work with product, marketing, analytics, and engineering teams, technical documentation, client and stakeholder engagement, and identifying improvements to customer data capabilities.

The posting also describes a Senior Consultant role supporting Adobe Journey Optimizer (AJO). This work includes designing and configuring omnichannel customer journeys, implementing journey logic and decisioning, configuring channel surfaces, integrating AJO with Adobe Experience Platform and related Adobe products, and leading solution delivery across Adobe Experience Cloud, third-party systems, and client stakeholders. The posting gives a separate recruiting end date for this Adobe-focused work. The disclosed salary range is $110,700 to $218,300, and employees may also be eligible for a discretionary annual incentive. The role may require travel up to 50%.

Requirements

• At least 5 years of experience in data architecture, customer data platforms, or identity resolution solutions.
• At least 3 years of experience with identity graph technologies or identity resolution platforms such as Acxiom or LiveRamp.
• At least 5 years of in-depth understanding of relational and non-relational database platforms, such as MS SQL, MySQL, PostgreSQL, MongoDB, Snowflake, BigQuery, or Redshift.
• At least 5 years of experience with data processing (ETL) tools and methodologies.
• At least 3 years of experience designing customer-centric datasets, such as CRM, call center, marketing, offline, or point-of-sale datasets.
• At least 3 years of data modeling experience.
• Ability to travel up to 50% on average, depending on the work and clients served.
• For the Adobe Journey Optimizer work described in the posting: at least 3 years of hands-on AJO implementation experience, including journey orchestration, triggers, automations, actions, messages, and offers.
• For the Adobe Journey Optimizer work described in the posting: at least 2 years configuring AJO channel surfaces, including email, SMS, push, and in-app, as well as email subdomain setup, IP pool creation, and IP warming or deliverability strategy.
• For the Adobe Journey Optimizer work described in the posting: at least 2 years working with AEP, including XDM schemas, RT-CDP, and Web/Mobile SDK or Edge Network event forwarding to support AJO journey triggers.
• Experience configuring external data sources, custom events, and custom actions within AJO for attribute- and behavior-driven journeys.
• At least 5 years in customer data, marketing technology, or digital campaign management involving API-first configuration, Git, CI/CD, environment promotion, automated validation, production monitoring, and runbooks.
• Strong understanding of business domains, data models, and marketing campaign strategy, with the ability to translate functional requirements into technical journey designs.
• Ability to work independently and as part of a team; effective written and verbal communication; attention to detail and quality; strong interpersonal skills and professional demeanor; ability to lead workstreams, prioritize tasks, meet deadlines, build relationships, and provide guidance.
• Limited immigration sponsorship may be available.

Nice To Haves

• Experience and knowledge of digital marketing analytics and media operations.
• Experience with marketing cloud solutions and customer data platforms.
• Experience with data observability or anomaly detection tools.
• Familiarity with U.S. privacy and data protection requirements for identity data, including federal requirements for government data.
• Programming experience in Python, Java, or Bash scripting.
• Experience with Big Data technologies such as Hadoop, Spark, Redshift, Snowflake, or Hive.
• Experience with Martech and Adtech tools and integrating them into data management solutions, such as Adobe, Salesforce, Oracle, or Google.
• Experience in advanced analytics, machine learning concepts, and use cases for customer experience and marketing solutions.
• Ability to explain complex technology concepts to technical and non-technical audiences and approach technical solutions from a business perspective.
• Understanding of the full SDLC process.
• Understanding of data integration methodologies and tools such as MuleSoft, Dell Boomi, custom APIs, Segment, or Tealium.
• Understanding of public cloud offerings and designing solutions using AWS, Azure, or Google Cloud Platform.
• Degree in Computer Science, Information Systems, Data Science, or a related field.
• Experience working with public cloud offerings, including GCP services such as Cloud Functions, Composer, SQL, Storage, Dataproc, Datastore, Kubernetes, BigQuery, Stackdriver, and Pub/Sub; AWS services such as Lambda, Glue, Data Pipeline, Redshift, Aurora, Athena/Spectrum, S3/Glacier, Fargate, CloudWatch, and Kinesis; or Azure services such as Functions, Batch, Blob Storage, Data Warehouse, Data Factory, Containers, Monitor, and Service Bus.
• Hands-on experience with AJO Decisioning and Offer Decisioning, including offer collections, placements, decision scopes, and eligibility and prioritization rules.
• Adobe Certified Expert or Adobe Certified Professional credential in Journey Optimizer, Experience Platform, or a related Adobe Experience Cloud product.
• Experience with emerging AJO/AEP AI capabilities, including AJO Experimentation, CX AI/Agent Orchestrator, and AEP AI Assistant.
• Experience with cloud data platforms such as Snowflake, Databricks, Microsoft Azure, AWS, or Google Cloud Platform.
• Experience with digital marketing analytics and Customer Journey Analytics.
• Programming or scripting experience in Python, Java, SQL, or Bash.
• Experience integrating marketing technology, advertising technology, and data integration tools, including Adobe, Salesforce, Oracle, Google, MuleSoft, Dell Boomi, Segment, Tealium, or custom APIs.
• Experience training or leading offshore or nearshore delivery teams in a Global Delivery model.
• Bachelor's degree in Computer Science, Information Systems, Marketing Technology, or a technical field.

Responsibilities

• Maintain and evolve the identity graph with identity partners, improving identity matching logic and resolution accuracy.
• Design data collection strategies using tagging solutions to supply high-quality data to the identity graph.
• Gather business use cases and translate them into scalable identity graph architectures and technical solutions.
• Support linking identity resolution outputs to source data so identities and attributes can be traced to their origins.
• Help build reporting and monitoring to flag data anomalies, match mismatches, and oversized identity clusters.
• Partner with legal and compliance teams to ensure identity data handling meets applicable U.S. privacy requirements.
• Collaborate with product, marketing, analytics, and engineering stakeholders on data strategy, solution design, and implementation priorities.
• Create technical specifications and documentation for development and stakeholder review.
• Engage with clients and internal teams to gather requirements, map solutions, and make recommendations.
• Identify opportunities to improve customer data capabilities and develop solutions for changing business needs.
• Design and configure end-to-end customer journeys in Adobe Journey Optimizer, including triggers, actions, messages, offers, and orchestration logic.
• Build rules and conditional logic for complex, multi-step journeys using customer attributes, behaviors, and real-time events.
• Configure AJO channel surfaces for email, SMS, push notifications, and in-app messaging, including email subdomains, IP pools, and IP warming strategies.
• Integrate AJO with Adobe Experience Platform, including RT-CDP and CJA, to support unified profiles, audience activation, and cross-channel measurement.
• Implement AJO Decisioning and Offer Decisioning capabilities, including offer collections, placements, decision scopes, and eligibility and prioritization rules.
• Lead integration and solution delivery across Adobe Experience Cloud, third-party systems, and client stakeholder groups during implementation, technical design, and pre-sales activities.
• Work independently and collaboratively, communicate effectively, maintain professional relationships, lead projects or workstreams, manage competing priorities, meet deadlines, and provide clear guidance to others.

Benefits

• Discretionary annual incentive program, subject to program rules and individual and organizational performance.
• Employees are offered a broad range of benefits; specific benefits are not listed in the posting.
• Professional development opportunities, including on-the-job learning, leadership opportunities, mentorship, and formal development programs.

What This Job Offers

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