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), AnalyticsResponsibilities
Oversee organizational data engineering solutions. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.
QualificationsGraduate in Computer Science, Data Science, or related field. 6-8 years of experience in data engineering or related field.
Skills Required
- 10+ years of experience in data engineering, data modeling, and architecture
- Experience with Azure and Databricks
- Experience with marketing data concepts, including accounts, customers, prospects, leads, opportunities, engagement, and consent
- Strong knowledge of Customer 360 and Master Data Management concepts
- Experience with multiple system integrations
- Experience leading teams of 5–8 or more data engineers, architects, and technical specialists
- Strong communication and problem-solving skills
- Graduate degree in Computer Science, Data Science, or a related field
- 6–8 years of experience in data engineering or a related field
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
