Nasscomm, Inc.
Nasscomm, Inc.

Enterprise Data Lake Specialist/AEP Specialist

Remote • Posted 16 hours ago • Updated 16 hours ago
Contract W2
6 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Databricks
  • Data Governance
  • Data Lake
  • Data Modeling
  • Data Quality
  • Documentation
  • Business-to-business
  • Confluence
  • Data Architecture
  • Data Engineering
  • Marketing
  • Marketo
  • Microsoft Azure
  • Python
  • RESTful
  • GitHub
  • IT Management
  • JIRA
  • Knowledge Transfer
  • Management
  • SLA
  • SQL
  • Sales
  • Sprint
  • Testing
  • Translation
  • Use Cases
  • Web Portals
  • Adobe
  • ACS

Summary

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)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10309076
  • Position Id: 9128883
  • Posted 16 hours ago
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Sumit Gupta

Sumit Gupta

Recruiter @ Nasscomm, Inc.

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