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 at JPMorgan Chase as a part of Consumer and community banking technology team, 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.
Job Responsibilities:
Lead architecture and engineering of large-scale data processing and platform solutions using Python, and Java.
Design and implement robust ETL/ELT pipelines, including ingestion, transformation, validation, reconciliation, and publishing across curated layers.
Build and operationalize Medallion architecture patterns for data quality, lineage, governance, and reuse.
Develop and optimize solutions on Data Lakes partitioning strategies.
Ensure engineering best practices: code quality, testing, CI/CD, observability, security-by-design, and operational readiness.
Drive performance optimization across Spark jobs (shuffle tuning, joins, caching, skew handling), storage layout, and Snowflake workloads.
Partner with product owners, architects, data governance, and downstream consumers to translate requirements into resilient technical solutions.
Required qualifications, skills, and capabilities:
Strong hands-on development skills in Python and/or Java (ideally both).
Strong experience with Apache Spark and distributed data processing concepts.
Proven expertise building ETL/ELT pipelines and data integration frameworks.
Strong understanding of data storage/serialization and table/file formats, including Parquet and Avro.
Deep understanding of Big Data ecosystem fundamentals (distributed compute, fault tolerance, partitioning, data quality, metadata management).
Strong experience implementing Medallion architecture and Data Lake design principles.
Strong working knowledge of Snowflake including loading/unloading patterns and performance considerations.
Ability to lead technical decisions, drive alignment across teams, and communicate clearly with technical and non-technical stakeholders.
Preferred qualifications, skills, and capabilities:
Experience with data orchestration frameworks and pipeline automation.
Experience with data governance concepts (lineage, cataloging, access controls, PII handling) and production operations.
Exposure to streaming/event-driven patterns and incremental processing strategies.
Experience designing reusable data products, frameworks, or platform components used by multiple teams.
Domain experience in highly regulated environments (risk, audit, compliance, privacy).
Experience with lakehouse patterns, table formats (e.g., ACID table layers), and data platform modernization programs.
Experience with cost optimization and FinOps-style controls for big data workloads.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
JPMorgan Chase & Co. is a leading global financial services firm with a diverse range of businesses, including investment banking, commercial banking, financial transaction processing, and asset management.