Marketing Data Platform Lead - Cloud & Data Architecture

Ex

New Jersey

In loco

USD 150.000 - 210.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Ex in New Jersey is seeking an experienced Data Engineering Lead to drive data & marketing platforms. You will own end-to-end delivery of the data platform, guide architecture decisions, and mentor a team of data engineers and specialists.

The role focuses on Azure, Databricks, data modeling, and governance, partnering with business stakeholders and ensuring scalable, secure cloud solutions across marketing analytics and activation use cases.

Competenze

  • 10+ years in Data Engineering, Data Modeling and Architecture.
  • Experience with Azure and Databricks.
  • Strong knowledge of Marketing Data concepts (Account, Lead, Customer, Prospect, etc.).
  • Leadership of 5-8+ data engineers and architects.

Mansioni

  • Lead end-to-end delivery of Marketing Data platform initiatives from intake to deployment.
  • Partner with stakeholders to translate objectives into delivery plans.
  • Manage risks, dependencies and timelines across teams.
  • Maintain project artifacts: RAID logs, requirements, release plans, handoffs.
  • Drive sprint planning, backlogs, ceremonies and issue resolution.
  • Ensure scalable, secure, well-documented solutions aligned with governance standards.
  • Provide technical leadership across cloud data platforms, data modeling, pipelines, and integrations.

Conoscenze

Data engineering
Data modeling
Azure
Databricks
MDM
Customer 360
Team leadership
Stakeholder management

Strumenti

Git
GitHub Copilot
Claude

Descrizione del lavoro

Ex in New Jersey is seeking an experienced Data Engineering Lead to drive data & marketing platforms. You will own end-to-end delivery of the data platform, guide architecture decisions, and mentor a team of data engineers and specialists.

The role focuses on Azure, Databricks, data modeling, and governance, partnering with business stakeholders and ensuring scalable, secure cloud solutions across marketing analytics and activation use cases.

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