Senior Lead Data Engineer - General Ledger
Company: JPMorganChase
Location: Columbus
Posted on: April 1, 2026
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Job Description:
Description You have the opportunity to unleash your full
potential at a world-renowned company and take the lead in shaping
the future of technology. As a Senior Lead Data Engineer at
JPMorgan Chase within Enterprise Technology, you serve as a
seasoned member of an agile team to design and deliver trusted
market-leading technology products in a secure, stable, and
scalable way. Lead data engineering within Finance Technology for
the General Ledger, defining the data strategy and partnering with
software engineers and central platform teams to deliver world
class data capabilities. Job responsibilities Partner with
engineering and central platform teams to enable and scale core
data lake capabilities on Databricks, covering ingestion,
processing, governance, cataloging, quality, lineage, access, and
consumption. Pilot and evaluate new tools and services; run
proof-of-concepts, define selection criteria and success metrics,
and integrate successful solutions into the platform. Operate
within Agile SDLC; coordinate with stakeholders and provide clear
updates on progress and priorities. Drive performance, scalability,
and reliability through capacity planning, stress testing, and
performance tuning. Document best practices, guardrails, patterns,
and runbooks; maintain a knowledge base and onboarding materials
for the broader engineering community. Explore and implement
agentic solutions and automation tools to improve developer
experience and operational efficiency. Provide recommendations and
insight on data management and governance procedures, including
acquisition, maintenance, validation, and utilization of data.
Design and deliver secure, stable, and scalable data platform
solutions, including database backup, recovery, and archiving
strategies. Approve data analysis tools and processes, generate
advanced data models, and advise junior engineers and
technologists. Evaluate and report on access control processes to
ensure effectiveness of data asset security. Required
qualifications, capabilities, and skills Formal training or
certification in software engineering concepts and 5 years of
applied experience. Hands-on experience in cloud data engineering
and platform engineering, with a focus on enabling data platform
capabilities. Strong expertise in AWS (VPC design, subnets,
routing, security groups, NACLs). Proficiency in Kubernetes (EKS),
AWS ECS, containerization, orchestration, and workload scaling.
Advanced programming skills in Java/Python and SQL Hands-on
experience with Databricks (Unity Catalog, Delta Lake) and
familiarity with Lakehouse patterns. Advanced understanding of
agile methodologies, CI/CD, application resiliency, and security.
Proficiency in automation and continuous delivery methods (CI/CD,
Infrastructure as Code with Terraform or CloudFormation), automated
testing, and release pipelines. Working experience with both
relational and NoSQL databases like MongoDB. Advanced understanding
of database backup, recovery, and archiving strategy. Experience
presenting and delivering visual data to senior stakeholders.
Preferred qualifications, capabilities, and skills Hands-on
experience in cloud data engineering and platform engineering, with
a focus on enabling data platform capabilities.
Keywords: JPMorganChase, Dayton , Senior Lead Data Engineer - General Ledger, IT / Software / Systems , Columbus, Ohio
