Lead Data Engineer

The Lead Data Engineer position with JPMorgan Chase within Personal Investing centres on developing and operate workflow orchestration (., Apache Airflow) to schedule, monitor, and manage data movement and transformations. It would suit someone who can bring strong professional approach to the role.

Role overview

Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads. Mentor junior engineers and influence the team’s technical direction through standards, reviews, and knowledge sharing.

Main responsibilities

Develop and operate workflow orchestration (., Apache Airflow) to schedule, monitor, and manage data movement and transformations. Implement infrastructure-as-code (., Terraform) to provision and manage cloud-based data platform components. Own critical data systems by improving reliability, scalability, security, and operational excellence.

What helps someone succeed

Strong professional approach.

Requirements

• 8 years of recent, hands-on professional experience actively coding as a data engineer.
• Experience building continuous integration and continuous delivery automation for data and platform services.
• Hands-on experience building and operating cloud-based data platforms using major cloud services (., AWS, Google Cloud, or Azure).