Bad analytics data does not get better on its own. Focus GTS places senior Adobe Analytics engineers who design trustworthy measurement infrastructure -- from data layer architecture and Adobe Launch implementation to CJA migration and XDM schema design. Adobe Silver Solution Partner with 500+ Adobe specialists placed at Fortune 100 companies. Screened resumes in 48 hours.
What this role builds
There is a persistent confusion in the market between Adobe Analytics analysts -- who report from the data -- and Adobe Analytics engineers, who build and maintain the infrastructure that makes the data reportable. This page is about the engineers.
A senior Adobe Analytics engineer owns the measurement architecture from the data layer contract through to the reporting layer. That starts with defining the event taxonomy -- what gets tracked, what variables carry which data, how props and eVars are allocated across report suites, and how VISTA rules and processing rules govern data transformation before it becomes reportable. In organizations that have accumulated years of measurement debt, cleaning up that taxonomy is often the first six months of work before any new tracking can be trusted.
The Adobe Launch (Data Collection) implementation is where the engineer's decisions become visible. A well-designed tag architecture -- with a clean data layer contract, rule-based event firing logic, and governance over extension versions -- produces stable, auditable analytics data. A poorly designed one produces the kind of inconsistent, hard-to-debug measurement that leads analysts to stop trusting their reports. Engineers who have managed large-scale Launch implementations know the difference between a property that was built to be maintained and one that was built to be forgotten.
Customer Journey Analytics is reshaping what this role requires. The migration from Adobe Analytics to CJA -- or the parallel-run hybrid architecture many enterprises are running -- demands XDM schema design for analytics use cases, AEP dataset ingestion and identity stitching configuration, CJA connection and data view architecture, and the validation methodology to confirm CJA numbers reconcile with legacy Analytics report suites. Engineers who have shipped this in production are rare and in demand.
Focus GTS staffs Adobe Analytics engineers at all seniority levels, from mid-level engineers who can own a Launch property and maintain a healthy report suite taxonomy to senior architects who design the full measurement stack across a multi-brand enterprise -- including the integration surface with Adobe Target, Adobe Audience Manager, and Real-Time CDP.
The hiring challenge
The platform's depth and the speed of Adobe's product evolution have created a talent market where genuine seniority is narrow and easily misrepresented.
Adobe Analytics has a lower public profile than Google Analytics 4 but significantly greater depth and enterprise complexity. Most experienced Analytics engineers developed their skills inside large agencies or consulting firms that ran implementations for enterprise clients -- meaning the talent pool is concentrated and most of it is currently employed. The transition to Web SDK and CJA has added a new skills axis that many experienced Analytics practitioners are still catching up on, so claiming "CJA experience" on a resume does not mean the same thing across candidates.
Hiring managers who are not themselves analytics engineers often cannot distinguish between a candidate who has genuinely owned a measurement architecture and one who has run reports inside a system someone else built. The interview process for this role needs to dig into specifics: What were the report suite governance decisions you made? How did you handle prop vs. eVar allocation for a new product launch? What was your validation methodology when you migrated to CJA? Generic answers to those questions tell you everything you need to know.
Tell us the scope -- AppMeasurement or Web SDK, CJA migration, Launch governance, or full measurement architecture redesign. We deliver screened resumes within 48 hours of an intake call.
Start the ConversationScreened resumes in 48 hours. Adobe Silver Solution Partner.
Our screening process
Candidates are assessed on taxonomy design decisions, report suite governance, VISTA rule logic, and processing rule strategy on real enterprise-scale implementations.
We verify genuine ownership of Adobe Launch property architecture -- data layer contract design, rule governance, extension management, and debugging methodology.
Assessed for XDM schema design, AEP dataset configuration, CJA connection and data view architecture, and Web SDK migration from AppMeasurement on production properties.
Validated on integration experience with Adobe Target (A4T), Audience Manager, and Real-Time CDP -- the integrations that determine whether analytics data serves the full Adobe stack.
Engagement options
Frequently asked
An Adobe Analytics engineer owns the measurement infrastructure that analysts report from. They design and maintain the data layer, build and govern the Adobe Launch (Data Collection) tag implementation, write VISTA rules and processing rules, configure report suites, build data feeds for downstream data warehousing, and -- increasingly -- architect the migration to Customer Journey Analytics. Analysts consume the data. Engineers build and maintain the pipeline that makes it trustworthy.
Yes. CJA migration experience is one of the most in-demand specializations in the Adobe Analytics market right now. We screen for candidates who have designed the Adobe Experience Platform data ingestion pipeline, built XDM schemas for analytics use cases, configured CJA connections and data views, and managed the parallel-run validation process against legacy Adobe Analytics report suites.
Yes. The shift from AppMeasurement and the Analytics extension to the Web SDK changes how data is collected, how XDM schemas are mapped, and how data flows into both Adobe Analytics and AEP simultaneously. We screen for candidates who have executed Web SDK migrations in production -- not just those who are familiar with the documentation.
Yes. All candidates we present for senior Adobe Analytics engineering roles are US-based. The complexity of these implementations and the coordination required with analytics, marketing, and product teams makes timezone alignment and communication clarity important factors in placement success.
Screened resumes in 48 hours. Adobe Silver Solution Partner. Tell us your measurement architecture challenge.
