Lead Software Data Engineer - Corporate Know Your Customer

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hackajob is partnering directly with JPMorganChase to hire for this role.

JOB DESCRIPTION

Join us to shape the future of financial technology and make a meaningful impact on millions of customers worldwide.

As a Lead Software Engineer at JPMorgan Chase in the Corporate Sector's agile data engineering team, you will promote the development of a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform. You will lead across multiple teams, define architecture and engineering standards, and deliver high-impact software that scales. You'll collaborate with colleagues to implement secure, stable, and scalable solutions, and help shape the team's culture and technical direction. Your expertise will support the firm's portfolios and contribute to our ongoing success.

Job responsibilities

• Develop secure, high-quality production code for data-intensive applications and platforms
• Review code and mentor engineers to foster growth and excellence
• Create durable, reusable software frameworks and patterns for use across teams
• Drive adoption of advanced technical methods and industry-standard practices
• Advise cross-functional teams on technological matters within your domain
• Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation
• Enhance automation at scale to improve value and efficiency
• Lead architectural decisions and engineering practices across multiple teams
• Collaborate with stakeholders to deliver impactful solutions
• Champion best practices in software development and data engineering
• Support a culture of innovation, inclusion, and continuous improvement

Required qualifications, capabilities, and skills

• Hands-on experience delivering xwwtmva system design, application development, testing, and operational stability at enterprise scale
• Expertise in Python and/or PySpark
• Advanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering
• Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
• Advanced working knowledge of relati
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