Data Engineering Lead

EXL Talent Acquisition Team; New Jersey; On-site; USD 150,000 - 190,000; Full time

Job summary

EXL Talent Acquisition Team seeks a Data Engineering Lead for its NJ/NY operations to guide marketing data platforms, data architecture, and cloud-enabled solutions. You will lead the delivery team, drive requirements, and shape end-to-end architecture decisions with focus on governance, security, and scalable data pipelines.

The role demands 10+ years in data engineering, strong Azure/Databricks experience, and proven leadership of engineers and architects across data modeling, integration, and

Qualifications

• 10 to 15 years in Data Engineering, Modeling & Architecture with Azure and Databricks.
• Strong in Marketing Data concepts: Account, Customer, Lead, Opportunity, Engagement, Consent.
• Leadership of 5–8+ data engineers and architects; strong communication and problem solving.

Responsibilities

• Lead end-to-end delivery of Marketing Data platform, integration, reporting, and architecture initiatives.
• Partner with stakeholders to clarify requirements, define scope, and translate into delivery plans.
• Manage risks, timelines, decisions, and tradeoffs across teams; maintain RAID and release plans.
• Drive sprint planning, backlogs, technical reviews, and issue resolution.
• Ensure scalable, secure, well-documented solutions aligned with data governance.
• Provide technical leadership across cloud data platforms, data modeling, and activations.

Skills

Data Engineering

Data Modeling

Data Architecture

Azure

Databricks

SQL/RDBMS

Git

Integration patterns

Customer 360/MDM

Cloud & AI

Tools

Copilot

Claude

Github Copilot

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