Lead Software Engineer - BI/Data Platform Lead
JPMorganChase
Software Engineering
Mumbai, Maharashtra, India
Posted on Jun 19, 2025
Lead Software Engineer - Data Engineering Platform Lead
Mumbai, Maharashtra, India
Job Information
- Job Identification 210638069
- Job Category Software Engineering
- Business Unit Asset & Wealth Management
- Posting Date 06/19/2025, 08:01 AM
- Locations Prima Bay Tower A Lower & Upper Basement (Part) Ground floor, 1st to 10th floor Near L&T Gate no 5, Saki Vihar Road, Mumbai, IN-MH, 400072, IN
- Apply Before 07/25/2025, 07:00 AM
- Job Schedule Full time
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Data Platform Engineering Lead at JPMorgan Chase within Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Lead the design, development, and implementation of scalable data pipelines and ETL batches using Python/PySpark on AWS.
- Execute standard software solutions, design, development, and technical troubleshooting
- Use infrastructure as code to build applications to orchestrate and monitor data pipelines, create and manage on-demand compute resources on cloud programmatically, create frameworks to ingest and distribute data at scale.
- Manage and mentor a team of data engineers, providing guidance and support to ensure successful product delivery and support.
- Collaborate proactively with stakeholders, users and technology teams to understand business/technical requirements and translate them into technical solutions.
- Optimize and maintain data infrastructure on cloud platform, ensuring scalability, reliability, and performance.
- Implement data governance and best practices to ensure data quality and compliance with organizational standards.
- Monitor and troubleshoot application and data pipelines, identifying and resolving issues in a timely manner.
- Stay up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement.
- Add to team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience in software development and data engineering, with demonstrable hands-on experience in Python and PySpark.
- Proven experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Good understanding of data modeling, data architecture, ETL processes, and data warehousing concepts.
- Experience or good knowledge of cloud native ETL platforms like Snowflake and/or Databricks.
- Experience with big data technologies and services like AWS EMRs, Redshift, Lambda, S3.
- Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab, for data engineering platforms.
- Good knowledge of SQL and NoSQL databases, including performance tuning and optimization.
- Experience with declarative infra provisioning tools like Terraform, Ansible or CloudFormation.
- Strong analytical skills to troubleshoot issues and optimize data processes, working independently and collaboratively.
- Experience in leading and managing a team/pod of engineers, with a proven track record of successful project delivery.
Preferred qualifications, capabilities, and skills
- Knowledge of machine learning model lifecycle, language models and cloud-native MLOps pipelines and frameworks is a plus.
- Familiarity with data visualization tools and data integration patterns.
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