Data Engineering Lead

Data Engineering Lead – EXL Talent Acquisition Team Careers loaded

• 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

Responsibilities

• Oversee organizational data engineering solutions. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.

Qualifications

• Graduate in Computer Science, Data Science, or related field. 6-8 years of experience in data engineering or related field.

• Required Skills

• Attention To Consistency

• CI/CD Automation

• Data Engineering Management

• Data Engineering Strategy

• Data Security

• DevOps Practices

• Internal Communications

• Interpersonal Relationship Building

• Leadership Capabilities

• Optimization Tool

• Working under Pressure

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