Architect – Adobe Data & Analytics

Adelphi Group•Chicago, IL

2d•$130,000 - $170,000•Hybrid

About The Position

Credera is a global boutique consulting firm serving clients ranging from Fortune 500 companies to emerging industry leaders. Its fast-growing Credera Marketing Solutions team provides strategy, enablement, and optimization across Marketing Orchestration, Customer Journey, Intelligent Content, AdTech and Paid Media, Measurement & Analytics, Single Customer View, SEO, and Commerce. Architects help grow the practice through strategy, team building, mentoring, and recruitment. They work directly with clients and stakeholders to design scalable, extensible, and maintainable solutions, remaining hands-on from proposal through deployment. The role calls for expertise in marketing operations, data, channel orchestration, and common marketer use cases, along with strong communication and problem-solving skills and ownership of ambiguous challenges. The position focuses on Adobe data collection and analytics architecture, data integration and measurement, and client advisory. It includes designing and optimizing implementations across Adobe Experience Platform Data Collection, Adobe Analytics, and Customer Journey Analytics; integrating analytics solutions with enterprise and cloud data platforms; and translating business objectives into measurement strategies and technical roadmaps. Omnicom policy requires employees to work in the office at least three days per week, to the extent permissible by local law, unless additional in-office days are directed by the agency or manager.

Requirements

At least 5 years of hands-on experience designing, enabling, and optimizing Marketing Technology systems.
Experience leading teams to create personalized experiences that drive customer and business outcomes.
Ability to thrive in a fast-paced, client-facing role and deliver high-quality work under tight deadlines.
Strong communication and interpersonal skills for engaging business and technical stakeholders.
Ability to prioritize tasks, solve problems analytically, and adapt to new technologies and processes.
Experience with data collection, Adobe Experience Platform, and the Adobe Analytics Suite.
Hands-on experience architecting and implementing data collection across websites and digital experiences using Adobe Experience Platform Data Collection (formerly Launch) and Adobe Tags, including scalable tagging architectures with data elements, rules, extensions, environments, and deployment workflows.
Proven ability to implement and optimize Adobe Experience Platform Web SDK, data streams, and Edge Network integrations for analytics and downstream use cases.
Experience establishing data collection standards and governance, including naming conventions, tag management, consent and privacy, and QA; ability to troubleshoot using browser developer tools, network inspection, and Adobe Experience Platform Debugger.
Experience architecting and optimizing Adobe Analytics implementations, including report suites, variables, events, eVars, props, processing rules, and classifications, and guiding migrations and modernization.
Hands-on experience designing and implementing Customer Journey Analytics solutions, including connections, data views, components, and Workspace projects.
Strong grasp of Customer Journey Analytics data architecture, including event, profile, and lookup datasets, identity stitching, sessionization, and derived fields.
Understanding of event-based data models, analytics schemas, data layers, and data flows from collection through processing, reporting, and activation.
Experience integrating Adobe analytics and data collection solutions with enterprise and cloud data platforms such as Snowflake, BigQuery, Databricks, and Redshift through APIs, data feeds, and batch or streaming pipelines.
Foundational ETL/ELT knowledge.
Ability to assess data quality, investigate discrepancies, reconcile measurement across systems, and establish repeatable validation and monitoring practices.
Experience translating business objectives and stakeholder questions into measurement strategies, KPIs, data layer specifications, event taxonomies, and analytics roadmaps.

Nice To Haves

Experience with Google Analytics, particularly GA4, and cross-platform measurement.
Customer Journey Analytics alignment experience where applicable.

Responsibilities

Meet with clients to define business, functional, and technical requirements and translate them into technical roadmaps and secure, compliant, component-based solutions.
Define system landscapes, identify gaps between current and desired states, and lead analysis, design, customization, and configuration for data migrations and integrations.
Participate in or lead full-lifecycle development in a mixed environment, delivering enhancements and automating existing applications.
Troubleshoot implementation issues and drive them to resolution.
Build trusted-advisor relationships with clients, provide first-level escalation for concerns, share milestone celebrations with the team, and participate in the sales cycle as needed.
Help grow the Credera Marketing Solutions practice through strategy, team building, mentoring, and recruitment.
Architect and optimize Adobe Experience Platform Data Collection, Adobe Tags, Adobe Experience Platform Web SDK, data streams, and Edge Network integrations.
Establish data collection standards and governance, including naming conventions, tagging, consent and privacy, quality assurance, and deployment practices.
Architect and optimize Adobe Analytics implementations and guide migrations and modernization, including alignment with Customer Journey Analytics where applicable.
Design Customer Journey Analytics solutions, including connections, data views, components, and Workspace projects, for cross-channel journey analysis and business insights.
Integrate Adobe analytics and data collection solutions with enterprise and cloud data platforms using APIs, data feeds, and batch or streaming pipelines.
Assess data quality, investigate discrepancies, reconcile measurement across systems, and establish repeatable validation and monitoring practices.
Translate business objectives and stakeholder questions into measurement strategies, KPIs, data layer specifications, event taxonomies, and analytics roadmaps.
Communicate findings and technical recommendations to business and technical audiences, connecting implementation decisions to business outcomes.