Senior Data Engineering Lead – Strategy, Mentoring & Data Ops

CDL Labor Logistics; Jersey City (NJ); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health care coverage

On-site health & wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. in Jersey City, NJ seeks a Senior Lead Data Engineer to guide and coach multiple data engineering teams. You will influence budgets and technical direction to advance operational efficiencies and data capabilities, while ensuring cross-team collaboration.

The role emphasizes leadership in a world-class financial services environment, with a focus on scalable data pipelines, SQL/NoSQL, and mentoring engineers across the lifecycle.

Qualifications

• 7+ years of applied data engineering experience, plus 5+ years leading technologists.
• Experience leading data engineering teams.
• Strong SQL and database design/queries experience.
• Deep knowledge of data lifecycle from collection to analysis.
• Knowledge of NoSQL databases and financial services IT context.
• Ability to guide, coach and develop engineering talent.

Responsibilities

• Provides direction, oversight, and coaching for a team of data engineers.
• Makes strategic decisions impacting resources, budget, and processes.
• Ensures collaboration across teams and stakeholders.
• Identifies issues and escalates as needed to complete work.
• Provides input to leadership on budget and technical direction.
• Promotes diversity, inclusion, and representation within the team.

Skills

Data engineering leadership

SQL

NoSQL

Data lifecycle management

Mentoring & coaching

Hiring & talent development

Financial services domain knowledge

Tools

Python

JIRA

Confluence

Job description

JPMorgan Chase & Co. in Jersey City, NJ seeks a Senior Lead Data Engineer to guide and coach multiple data engineering teams. You will influence budgets and technical direction to advance operational efficiencies and data capabilities, while ensuring cross-team collaboration.

The role emphasizes leadership in a world-class financial services environment, with a focus on scalable data pipelines, SQL/NoSQL, and mentoring engineers across the lifecycle.