Enterprise Data lake specialist(AEP)

Location: 100% remote

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)