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 activitiesSets the overall guidance and expectations for team output, practices, and collaborationAnticipates dependencies with other teams to deliver products and applications in line with business requirementsManages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirementsCreates 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 testingFamiliarity with PySpark or distributed data processing frameworksExperience structuring multi-environment projects , like dev/uat/prod Proficiency in writing DBT macros, jinja templates, seeds, and custom test casesAbility to build and manage parameterized DAGs and manage task dependencies.Experience with Airflow .Proficiency with Glue jobs, Athena, Cloud watch, and LambdaWorking knowledge of Terraform for infrastructure automationUnderstanding 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.