Data Engineering Lead at EXL, New Jersey
Data Engineering Lead at EXL in New Jersey. Est. up to $160k. Apply with swipeandhired.
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
Oversee organizational data engineering solutions. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.
Graduate in Computer Science, Data Science, or related field. 6-8 years of experience in data engineering or related field.