Lead data engineer

Data Engineering Lead

Experience: 10-15 Years

Location: Jersey City, NJ - Hybrid  (1-2 Days in a week Onsite)

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.