Lead Software Engineer - Data Platform

JPMorgan Chase & Co.Austin, TX

About The Position

As a Lead Software Engineer at JPMorgan Chase, within the Commercial & Investment Banking – Data Analytics – Payments 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. 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.

Requirements

  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Demonstrated professional experience focused on software engineering or data platform development
  • Advanced in one or more programming languages(s); Python, Java and SQL
  • Hands-on experience with distributed data processing frameworks such as Apache Spark and Flink
  • Solid understanding of data modeling techniques (star schema, snowflake) and query optimization
  • Experience designing and operating data pipelines on Databricks using orchestration tools such as Apache Airflow
  • Proficiency with cloud data services (AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, or equivalent)
  • 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.)

Nice To Haves

  • Experience with Agentic AI, LLMs, RAG architectures, vector databases, and embedding-based retrieval systems
  • Experience with data mesh or data product architectures
  • Proficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes)
  • Experience with data observability, quality, and metadata management tools
  • Experience with semantic layers, metrics stores, or BI platforms (Tableau, dbt Metrics)

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
  • Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows for batch and real-time processing using Spark, Airflow, Kafka, and Flink
  • Develops data platform components including data cataloging, data quality frameworks, and semantic/metrics layers with embedded governance, lineage, and compliance standards
  • Implements data modeling strategies (fact and dimensional, wide tables) to support analytics, reporting, and downstream consumption
  • Partners with analytics teams, product managers, and business stakeholders to translate data requirements into production-grade solutions
  • 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

Benefits

  • competitive total rewards package including base salary determined based on the role, experience, skill set and location
  • commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions
  • comprehensive health care coverage
  • on-site health and wellness centers
  • a retirement savings plan
  • backup childcare
  • tuition reimbursement
  • mental health support
  • financial coaching
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