
AEP Engineer
Austin, TXJobSeen 1w agoSeen in employer's feed 1w ago
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At a glance
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Job overview
The AEP Engineer designs and maintains Adobe Experience Platform data models, ingestion pipelines, audience segments, and governance controls. The role also builds Customer Journey Analytics connections, reporting assets, and Adobe Target testing and personalization activities. It monitors platform health and data quality, supports privacy and compliance reviews, documents platform standards, and partners with engineering, clinical, data, and marketing teams.
Skills & qualifications
Skills
Full job description
AEP Data Engineering and GovernanceDesign, implement, and maintain Experience Data Model (XDM) schemas and datasets supporting real-time and batch data ingestionConfigure and manage data ingestion pipelines utilizing batch and streaming ingestion capabilities, source connectors, Data Prep, and DataflowsBuild and maintain audience segments within Real-Time Customer Data Platform (RTCDP), including profile merge policies, identity graph configurations, and destination activationsImplement and enforce data governance policies, including data usage labels, consent policies, and retention rules aligned with HIPAA requirements and organizational standardsMonitor platform health, data quality, and pipeline performance; investigate and resolve ingestion failures, schema validation errors, and profile merge issuesSupport identity resolution strategies through maintenance of identity namespaces and collaboration with data engineering teams on source system integrationsCustomer Journey AnalyticsCreate and maintain Customer Journey Analytics (CJA) connections and data viewsConfigure field mappings, components, and governance settings aligned with AEP datasetsBuild and maintain Workspace projects, calculated metrics, filters, and reporting componentsConduct cross-channel journey analysis to identify engagement patterns, drop-off points, and attribution insightsPartner with business stakeholders to translate reporting requirements into CJA solutions and upstream AEP data sourcesMaintain data dictionaries and document reporting definitions and known discrepanciesAdobe Target (Personalization and Testing)Implement and manage A/B testing, multivariate testing, and experience targeting activitiesConfigure and maintain Target audiences, offers, and activitiesEstablish activity governance standards including naming conventions, quality assurance protocols, and archiving practicesActivate RTCDP audiences within Adobe Target to support personalized experiencesValidate audience delivery and activity performance against defined success metricsDocumentation, Training and Other DutiesDevelop and maintain technical documentation including data dictionaries, schema change logs, segment definitions, and platform runbooksParticipate in sprint ceremonies, intake processes, and cross-functional planning activitiesSupport onboarding, training, and knowledge transfer effortsRepresent platform dependencies, priorities, and capacity considerations during planning activitiesMarginal or Periodic FunctionsEvaluate and test new AEP, CJA, and Adobe Target features released through Adobes release cycleConduct audits of audience segments, governance labels, consent configurations, and platform assetsSupport data privacy and compliance reviews, including data subject access request activitiesParticipate in vendor-managed escalations and issue resolution activitiesAssist with vendor evaluations, proof-of-concept initiatives, and technology assessmentsPerform related duties as assignedKnowledge, Skills, and AbilitiesTech SavvyAnticipates and adopts emerging experience and customer data platform capabilitiesApplies modern customer data and personalization technologies to enable scalable solutionsEvaluates platform capabilities and emerging features to enhance business outcomesTranslates technical capabilities into practical applications for engineering and business teamsDecision QualityMakes sound decisions balancing data accuracy, performance, governance, and business impactPrioritizes work based on customer experience value, operational efficiency, and riskEvaluates trade-offs between speed, scalability, and governance requirementsDocuments key decisions and rationale to support long-term sustainabilityManages ComplexityNavigates complex data ecosystems spanning multiple systems, sources, and use casesBreaks down technical architectures into manageable and actionable componentsAligns identity strategies, data structures, and activation requirements across platformsBring clarity to evolving customer data and digital experience environmentsCollaboratesBuilds strong partnerships across engineering, clinical, data, and marketing teamsAligns platform capabilities with organizational goals and stakeholder needsFacilitates understanding of audience strategy, personalization opportunities, and data governance requirementsPromotes collaboration through knowledge sharing and cross-functional engagementAction OrientedAdvances platform capabilities with urgency and initiativeIdentifies opportunities for both quick wins and long-term platform maturityProactively addresses data quality, audience, and activation issuesDrives continuous improvement across platform operations and configurationsEnsures AccountabilityTakes ownership of platform configuration, data quality, and activation outcomesEstablishes clear responsibilities and timelines for implementation activitiesMonitors platform health and ensures issues are resolved appropriatelyMaintains accountability for reliable and scalable digital experience solutionsCommunicates EffectivelyCommunicates technical concepts clearly and appropriately for diverse audiencesTranslates personalization and customer data strategies into actionable insightsProvides meaningful updates regarding platform performance and capabilitiesDevelops documentation, standards, and guidance supporting consistent platform use
How this job compares
Set against the 2,600 open Data Engineering jobs on Olive Jobs, counted October 28, 2026.
- Pay
- This postingNot listed
- Texas median$104–201K/yr122 salary ranges
- US median$47–52/hr84 hourly ranges
- Openings
- Olive Jobs lists 185 open Data Engineering jobs in Texas and 2,600 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- Data Engineering postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (2,267 postings).
- Education
- 1,052 of the 2,600 open Data Engineering jobs (40%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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