Architect – Adobe Data & Analytics

Credera Marketing Solutions provides strategy, enablement, and optimization services across Marketing Orchestration, Customer Journey, Intelligent Content, AdTech and Paid Media, Measurement & Analytics, Single Customer View, SEO, and Commerce, delivering deep technical and strategic advisory expertise.

Architects are integral to the Credera Marketing Solutions team, helping grow the Practice through strategy, team building, mentoring, and recruitment. Architects work directly with clients and stakeholders to design scalable, extensible, and maintainable solutions, staying hands-on from proposal through deployment.

Architects understand marketing operations, data, channel orchestration, and common marketer use cases. They are passionate, self-motivated, detail-oriented communicators with strong problem-solving skills who take ownership of ambiguous problems and drive toward simple solutions.

Responsibilities

• Meet with clients to define business, functional, and technical requirements, and translate them into a technical roadmap and component-based solutions that are secure, compliant, and built on best practices, working with a broad set of stakeholders
• Define the system landscape, identify gaps between current and desired end-states, and lead analysis, design, customization, and configuration for data migrations and integrations
• Participate in and/or lead full lifecycle development in a mixed environment, delivering new enhancements and automating existing applications
• Troubleshoot key implementation issues and drive them to successful resolution
• Establish client relationships as a trusted advisor, provide first-level escalation for client concerns, share key milestone celebrations with the team, and participate in the sales cycle as needed

Basic Qualifications

• Minimum 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
• Thrive in a fast-paced, client-facing role, delivering high-quality work under tight deadlines
• Strong communication and interpersonal skills, engaging both business and technical stakeholders
• Ability to prioritize tasks, solve problems analytically, and adapt to new technologies and processes

Data Collection, Adobe Experience Platform, and 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 (data elements, rules, extensions, environments, 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.
• Track record of establishing data collection standards and governance (naming conventions, tag management, consent and privacy, QA) and troubleshooting implementations using browser developer tools, network inspection, and Adobe Experience Platform Debugger.
• Experience architecting and optimizing Adobe Analytics implementations (report suites, variables, events, eVars, props, processing rules, classifications) and guiding migrations and modernization, including alignment with Customer Journey Analytics where applicable.
• Hands-on experience designing and implementing CJA solutions, including connections, data views, components, and Workspace projects.
• Strong grasp of CJA data architecture (event, profile, and lookup datasets), identity stitching, sessionization, and derived fields to support cross-channel journey analysis and surface business insights.

Data Architecture, Integration & Measurement

• Understanding of event-based data models, analytics schemas, data layers, and data flow from collection through processing, reporting, and activation.
• Experience integrating Adobe analytics and data collection solutions with enterprise and cloud data platforms (Snowflake, BigQuery, Databricks, Redshift) through APIs, data feeds, and batch or streaming pipelines, with foundational ETL/ELT knowledge.
• Ability to assess data quality, investigate discrepancies, reconcile measurement across systems, and establish repeatable validation and monitoring practices; experience with Google Analytics (particularly GA4) and cross-platform measurement is a plus.

Analytics Strategy & Client Advisory

• Experience translating business objectives and stakeholder questions into measurement strategies, KPIs, data layer specifications, event taxonomies, and analytics roadmaps.
• Ability to communicate findings and technical recommendations to business and technical audiences, tying implementation decisions to business outcomes.