Data Engineering Lead

EXL; New Jersey; On-site; USD 140,000 - 190,000; Full time

Job summary

EXL is seeking a Data Engineering Lead to drive end-to-end delivery of Marketing Data platforms and related architecture initiatives in NJ/NY. You will partner with business stakeholders, gather requirements, and shape scalable cloud-based solutions.

The role requires 10+ years in data engineering, strong Azure/Databricks skills, and a proven track record in leading 5–8+ engineers and architects. Immediate joining is expected.

Qualifications

• 10–15 years in Data Engineering, Data Modeling & Architecture with Azure and Databricks.
• Experience with Marketing Data, Customer 360 and MDM concepts.
• Strong communication, problem solving, and team leadership.
• Experience leading 5–8+ data engineers/architects.

Responsibilities

• Lead end-to-end delivery of Marketing Data platform initiatives from intake to production.
• Partner with stakeholders to clarify requirements and translate into delivery plans.
• Manage risks, dependencies, timelines, and decisions across teams.
• Maintain delivery artifacts and release plans.
• Drive sprint planning, backlog refinement, and technical reviews.
• Ensure scalable, secure, and well-documented solutions aligned with data governance.

Skills

Marketing data platforms

Data architecture

Azure

Databricks

Team leadership

Data modeling

Data pipelines

MDM concepts

Customer 360

Stakeholder communication

Git

Tools

Git

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