Senior Manager of Software Engineering - Data Engineering

JP Morgan Chase; Hyderabad City Taluka; On-site; PKR 120,000 - 160,000; Full time

Job summary

A multinational investment bank is looking for a Senior Manager of Software Engineering in Hyderabad. You will lead and develop a team while influencing technical direction and improving operational efficiencies. Candidates should have over 5 years of experience in software engineering, proficiency in data technologies like PySpark and Databricks, and a commitment to diversity and inclusion.

Qualifications

• 5+ years of experience in software engineering.
• 2+ years of experience leading technical teams.
• Advanced knowledge of SQL and NoSQL databases.

Responsibilities

• Provide direction and coaching for software engineers.
• Manage team resources, budget, and operations.
• Design data platform solutions.

Skills

Technical coaching

Team leadership

Data management

Data model generation

Diversity and inclusion

Tools

PySpark

Databricks

AI/ML

Snowflake

Redshift

AWS Glue

Job description

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 JPMorganChase within the Commercial & Investment Bank - Payments Technology team , you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Provides recommendations and insight on data management and governance procedures and intricacies applicable to the acquisition, maintenance, validation, and utilization of data
• Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Generates advanced data models for one or more teams using firm wide tooling, linear algebra, statistical and geometrical algorithms
• Delivers data pipeline/architecture solutions that can be leveraged across multiple businesses/domains
• Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills :

• Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Experience leading teams of technologists along with hiring, developing, and recognizing talent
• Experience with a combination of PySpark, Databricks, AI/ML, Snowflake, Redshift, Data Lakes, Data products, Cloud Based Big data technologies and handling Metadata
• Advanced understanding of database back-up, recovery, and archiving strategy with practical experience in SQL and NoSQL
• Advanced knowledge of AI/ML models
• Creates data models for complex applications and integrations while being accountable for ensuring design constraints are met by data engineering standards and software code development
• Oversee the design, development, and implementation of data solutions using Databricks and AWS Glue.
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency & Security
• Ensure the scalability, reliability, and performance of data pipelines and infrastructure

Preferred qualifications, capabilities, and skills

• Experience working at code level