Enterprise Data lake specialist (AEP)

Responsibilities

• Own end-to-end architecture and technical delivery for Adobe Experience Platform implementations — from data modeling and pipeline design through to downstream activation across PLG, retention marketing, enterprise marketing, and sales use cases
• Design and govern ingestion and transformation pipelines for marketing data assets using Databricks, producing production-grade curated datasets in the enterprise data lake
• Define and maintain the enterprise data model for AEP — including schema design, identity resolution strategy, and activation logic — establishing standards applied across all business unit implementations
• Lead data quality strategy across marketing data products, designing automated validation frameworks and remediation protocols that eliminate recurring quality and identity gaps at the source
• Serve as technical lead and product owner for AEP implementations — gathering requirements from stakeholders, leading sprint planning, and driving architecture decisions for cross-functional use cases
• Direct and govern implementation partner delivery (Infosys, Accenture, ACS) — setting architectural expectations, reviewing partner-produced work, and enforcing platform standards across all vendor implementations
• Author enterprise-grade pipeline documentation — covering data lineage, transformation logic, schema standards, and governance policies — enabling vendor transitions and consistent architectural practice
• Lead knowledge transfer and platform enablement for implementation partners and team members, building sustainable technical competency across engineering teams

Skills required

• Adobe Experience Platform (Schema & XDM design, segmentation)
• Data Engineering (Databricks pipeline development, Automated quality enforcement, Pipeline SLA monitoring)
• Enterprise data modeling
• Platforms & Integrations (AEP, Databricks, Marketo, WebData)
• SQL, Python, Rest API

Domain Knowledge

• AEP/CDP (AonA architecture, B2B Marketing Data Architecture)
• DBX Data and Pipeline going into AEP
• Marketo
• CDP Data Governance
• Stakeholder Requirements Translation
• Data governance
• Quality Testing

Required access/ platforms used

• jira
• Github
• DBX
• confluence
• Azure portal
• VScode
• Claude / Claude Code
• AEP (and Apps like CJA B2B and AJO B2B)