Data Engineer (Remote/Adobe Experience Platform//Databricks/python/Sql)

Job Description: 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.

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)"