Senior Lead Software Engineer - Data

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior 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 will d rive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities


* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors


* Develops secure high-quality production code, and reviews and debugs code written by others


* Drives decisions that influence the product design, application functionality, and technical operations and processes


* Serves as a function-wide subject matter expert in one or more areas of focus


* Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle


* Influences peers and project decision-makers to consider the use and application of leading-edge technologies


* 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


* 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 op...