Marketing Technologies Engineer (Analytics) — Growth & Martech Engineering

Adobe•Lehi, UT

16h•Remote

About The Position

The Growth and Martech Engineering team at Adobe ensures every customer interaction on Adobe.com and other digital surfaces is measured, optimized, and personalized. The Enablement Engineer will be a key part of this team, responsible for implementing Adobe Experience Cloud solutions. This role focuses on building scalable web data collection and tagging strategies using AEP's Data Collection tools, JavaScript, and other supporting tools on a large-scale web platform.

Requirements

5+ years in digital analytics/Martech implementation, working closely with developers on tracking and data pipelines.
Strong Adobe stack experience: AEP (Web SDK/Alloy.js, Real-Time CDP, XDM), Tags/TMS, Analytics, and Customer Journey Analytics.
Solid front-end skills (JavaScript, HTML, DOM; React/Angular a plus) with production-quality code, secure coding, and testing practices.
Expertise in data layer design, governance, and debugging (browser DevTools, AEP Debugger).
SQL experience querying analytics data (BigQuery, Snowflake, or AEP Query Service).
Comfortable using AI-assisted development tools in daily workflows.
Strong communication skills, effective with both technical and non-technical partners.

Nice To Haves

Experience with Consent Management Platforms (CMPs).
Experience with server-side tagging.
Experience with integrations with platforms like Snowflake or BigQuery.
Adobe certifications in AEP or Analytics.
Experience with extensive data pipelines and large-scale data processing tools.
Full-stack engineering familiarity and skills (Node.js or equivalent, Database, Front-end, etc.).

Responsibilities

Partner with marketing, product, and analytics to define tracking requirements and translate them into technical specifications.
Design scalable tagging strategies using Adobe Tags and AEP Web SDK.
Build data layers that capture data accurately.
Align implementations with XDM schemas and business logic.
Configure AEP, including schemas, datasets, identity namespaces, and ingestion.
Work with QA to validate implementations using AEP Debugger and browser DevTools.
Uphold data governance and privacy standards (GDPR, CCPA).
Integrate Martech and third-party tools.
Provide documentation, training, and support on digital data instrumentation standards.
Use AI-assisted development tools (e.g., Claude, Cursor) to improve speed and code quality.