Data Engineering Lead

Ex; New Jersey; On-site; USD 150,000 - 210,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data engineering

Data modeling

Azure

Databricks

MDM

Customer 360

Team leadership

Stakeholder management

Tools

Git

GitHub Copilot

Claude

Job description

JD: Data Engineering Lead – Data & Marketing Platforms

Experience: 10+ Years

Location: NJ/NY

No of Position: 1

Date of Joining: Immediate

This role is seeking an experienced Technology Manager with strong expertise in Marketing Data Platforms, Data Architecture, Solution Architecture, Cloud & AI Technologies, and Team Leadership. This role’s primary responsibilities are leading delivery teams, gathering business and technical requirements, designing scalable and secure cloud-based solutions, and driving end-to-end architecture decisions.

Core Responsibilities:

• Lead end-to-end delivery of Marketing Data platform, Integration, Reporting, and Architecture initiatives from intake through production deployment.
• Partner with business stakeholders to clarify requirements, define scope, validate priorities, and translate objectives into executable delivery plans.
• Manage project risks, dependencies, decisions, timelines, and tradeoffs across business, development, architecture, infrastructure, and operations teams.
• Establish and maintain delivery artifacts including project plans, RAID logs, decision logs, requirements documentation, release plans, and production handoff materials.
• Drive sprint planning, backlog refinement, delivery ceremonies, technical reviews, and issue-resolution discussions.
• Ensure solutions are scalable, secure, supportable, well-documented, and aligned with enterprise data governance standards.
• Provide technical leadership across cloud data platforms, data modeling, data pipelines, integrations, and downstream reporting or activation use cases.

Experience / Skillset Requirements:

• 10 to 15 (max) years of experience in Data Engineering, Data Modeling & Architecture with good foothold in Azure and Databricks
• Worked with Marketing Data and conceptually clear on concepts like Account, Customer, Prospect, Lead, Opportunity, Engagement, Consent etc
• Strong in Customer 360 and MDM concepts with multiple System Integrations.
• Strong Communication and Positive Attitude. Good Problem Solver.
• Lead and manage a team of 5-8 or more Data engineers, architects, and technical specialists.

CategoryResponsibilities

Delivery leadership

• Planning, Risks, Dependencies, Status, Escalations

Business partnership

• Requirements, Scope, Prioritization, Stakeholder Communication

Technical leadership

• Azure, Databricks, SQL/RDBMS, Git, Integration patterns, Customer 360/MDM, Data Modeling, Copilot, Claude, Github Copilot

Data governance

• Quality, Controls, Lineage, Documentation, Data Privacy & Security

Team leadership

• Mentoring, Agile ceremonies, Design reviews

Domain

• Marketing (B2B), Analytics