Lead Software Engineer - Data

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

About the role

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 within the Corporate Technology team, you will design, develop, and deliver scalable, consumer-aligned data products that power executive reporting, analytics, AI, and business applications. This role is ideal for an experienced software engineer who has deep expertise in data development and is passionate about transforming complex enterprise data into trusted reusable products.

The ideal candidate has extensive experience with Databricks, SQL, PySpark, Oracle, and modern data engineering practices. They will partner with business stakeholders, analytics teams, UI developers, and product owners to build high-quality data products that enable self-service analytics, dashboards, AI solutions, and operational reporting.

Responsibilities

• Design, develop, and maintain consumer-aligned data products that support enterprise reporting analytics.
• Develop curated datasets (Delta Lake tables) and analytics-ready models to support reporting, dashboards, and decision-making.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support). Establish consistent validation standards (secure coding, peer review, automated testing) and promote reuse of effective patterns across the team.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Design efficient, maintainable SQL queries, views, stored procedures, and reusable data models.
• Build reusable data assets that support dashboards, AI use cases, automation, and business applications.
• Ensure data quality, governance, lineage, and documentation are incorporated into all solutions.
• Optimize data processing performance and identify opportunities to improve scalability and efficiency.
• Collaborate closely with frontend developers, analytics engineers, UX designers, and product owners.
• Stay current on emerging technologies and recommend improvements in cloud data architecture, AI, and automation.

Requirements

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• 8+ years in software engineering and/or data application development.
• Expert-level SQL development experience, including query tuning and performance optimization.
• Extensive experience with Databricks and the Databricks Lakehouse Platform.
• Strong experience building data applications and pipelines using PySpark.
• Experience with Oracle databases and enterprise data architecture/integration patterns.
• Proven ability to design scalable, reusable data products for business consumers, grounded in strong data modeling (including dimensional modeling).
• Experience with API integrations and consuming/combining data from multiple enterprise sources.
• Operational excellence and modern delivery practices: incident response (triage/rollback/mitigation/postmortems), data lineage & impact analysis mindset, Agile methodologies, CI/CD, and strong analytical/communication/problem-solving skills.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Preferred Qualifications

• Experience building executive dashboards using Tableau, Qlik, or Power BI.
• Experience supporting AI, machine learning, or Generative AI initiatives.
• Experience with automation technologies and workflow orchestration.
• Experience designing semantic layers or enterprise data products.
• Familiarity with cloud platforms such as AWS or Azure.
• Experience mentoring engineers and leading technical solution design.

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive 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. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. Additional details about total compensation and benefits will be provided during the hiring process.

About Us

JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and many of the world's most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years, and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

About The Team

Our professionals in Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers, and employees up for success.