Data Engineering Lead
EXL · United States
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 |