Manager of Software Engineering- Data Engineering
at J.P. Morgan
Posted 22 days ago
No clicks
- Compensation
- Not specified
- City
- Columbus
- Country
- United States
Currency: Not specified
Senior engineering manager role within Consumer and Community Banking Data & Technology at JPMorgan Chase, leading multiple software engineering teams to deliver data products and pipelines. You'll manage day-to-day implementation, set team guidance and best practices, and ensure work meets compliance, SLA and business requirements. The role requires strong hands-on technical knowledge across Python, PySpark, Airflow, DBT, AWS data services (Glue, Athena, Lambda), and infrastructure automation (Terraform). Stakeholder management, building/optimizing ETL/ELT pipelines, and fostering an inclusive team culture are core responsibilities.
Location: Columbus, OH, United States
This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.
As a Manager of Software Engineering at JPMorganChase within the the Consumer and Community Banking - Data and Technology, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.
Job responsibilities
- Provides guidance to immediate team of software engineers on daily tasks and activities
- Sets the overall guidance and expectations for team output, practices, and collaboration
- Anticipates dependencies with other teams to deliver products and applications in line with business requirements
- Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
- Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation
Required qualifications, capabilities, and skills
- Strong python development experience, including modular coding, creating reusable classes, logging, and testing
- Familiarity with PySpark or distributed data processing frameworks
- Experience structuring multi-environment projects , like dev/uat/prod
- Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases
- Ability to build and manage parameterized DAGs and manage task dependencies.
- Experience with Airflow .
- Proficiency with Glue jobs, Athena, Cloud watch, and Lambda
- Working knowledge of Terraform for infrastructure automation
- Understanding of Iceberg,Delta Lake and their role in data-lake architecture.
- Designing and optimizing ETL/ELT pipelines.
Experience with version control like GIT, testing frameworks, and code reviews
Preferred qualifications, capabilities, and skills
- Experience in Apache Flink.
- Knowledge of snowflake streams, tasks, roles, and warehouses.
- Understanding of CDC and incremental load design, data governance and security.
- Exposure to Docker and container-based deployments.
