Senior Manager of Software Engineering - Python , spark , data modelling
Aumni
Software Engineering
Mumbai, Maharashtra, India
Posted on Nov 25, 2025
When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering at JPMorgan Chase within Corporate Technology, you will serve in a leadership role by offering technical coaching and advisory to multiple technical teams. Additionally, you will anticipate the needs and potential dependencies of other functions within the firm.
Job responsibilities
- Provides overall direction, oversight and coaching for a team of entry-level to mid-level data engineers that work on basic to moderately complex tasks
- Work with business and technology product owner on Product backlog prioritization
- Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
- Ensures successful collaboration across teams and stakeholders
- Identifies and mitigates issues to execute a book of work while escalating issues as necessary
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Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 7+ years applied experience
- Extensive 10 +experience in managing the full lifecycle of data, from collection and storage to analysis and reporting.
- Proficiency in one or more large-scale data processing distributions such as PySpark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and so-on
- Strong SQL skills for querying and managing relational databases
- Proficient in coding in one or more modern programming languages
- Should have good hands-on experience on AWS services and its components along with good understanding on Kubernetes.
- Experience leading teams of technologists
- Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
- Experience with hiring, developing, and recognizing talent
- Practical cloud native experience
- Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
Preferred qualifications, capabilities, and skills
- Experience of Databricks or similar lakehouse technologies
- Experience in building AI solutions on Data Lake
Serve in a leadership role by providing technical coaching and advisory for multiple technical teams