Lead Software Engineer - Data
Company: JPMorganChase
Location: Atlanta
Posted on: April 1, 2026
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Job Description:
Description We have an opportunity to impact your career and
provide an adventure where you can push the limits of what's
possible. As a Lead Software Engineer - Data at JPMorgan Chase
within the Corporate Sector - Cloud Financial Management Technology
group, you are an integral part of an agile team that works to
enhance, build, and deliver trusted market-leading technology
products in a secure, stable, and scalable way. As a core technical
contributor, you are responsible for conducting critical technology
solutions across multiple technical areas within various business
functions in support of the firm’s business objectives. Job
responsibilities Executes creative software solutions, design,
development, and technical troubleshooting with ability to think
beyond routine or conventional approaches to build solutions or
break down technical problems Develops secure high-quality
production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of
recurring issues to improve overall operational stability of
software applications and systems Leads evaluation sessions with
external vendors, startups, and internal teams to drive
outcomes-oriented probing of architectural designs, technical
credentials, and applicability for use within existing systems and
information architecture Leads communities of practice across
Software Engineering to drive awareness and use of new and
leading-edge technologies Adds to team culture of diversity,
opportunity, inclusion, and respect Required qualifications,
capabilities, and skills Formal training or certification on
software engineering concepts and 5 years applied experience
Proficiency in Python for data engineering and advanced
PySpark/SparkSQL (DataFrame APIs, UDFs/pandas UDFs) Spark
performance/tuning skills: partitioning, shuffle minimization,
broadcast joins, AQE, skew handling, caching, and reliable
backfills S3 data lake design and security: bucket/partition
layout, lifecycle/versioning, SSE-KMS encryption, cross-account
access, and Lake Formation/IAM Experience with open table formats
and lakehouse patterns (e.g., Apache Iceberg, Delta Lake, Apache
Hudi): table design/evolution, partitioning, snapshot/time?travel
concepts, and cross?engine interoperability Experience with
distributed columnar data warehouses (e.g., Redshift, BigQuery,
Snowflake): dimensional modeling, performance tuning, bulk
load/unload Hands-on practical experience delivering system design,
application development, testing, and operational stability
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD,
Application Resiliency, and Security Demonstrated proficiency in
software applications and technical processes within a technical
discipline (e.g., cloud, artificial intelligence, machine learning,
mobile, etc.) In-depth knowledge of the financial services industry
and their IT systems Preferred qualifications, capabilities, and
skills Ability to translate business requirements into data models,
contracts, SLAs, and measurable outcomes with clear business
impact. Knowledge of FinOps practices: budget/tagging discipline,
right-sizing and autoscaling, storage/query cost optimization, and
cost-aware design trade?offs. Experience implementing data quality
and reliability guardrails aligned to business SLAs (freshness,
completeness, accuracy) with actionable alerting. DevOps/IaC for
data: CI/CD for Spark/Glue jobs, Terraform/CloudFormation/CDK,
git-based versioning, and blue/green or canary publishes.
Experience building and operating AWS Glue 3.x/4.x ETL jobs and
orchestrating via Step Functions or Glue Workflows.
Keywords: JPMorganChase, Cleveland , Lead Software Engineer - Data, IT / Software / Systems , Atlanta, Tennessee
