Lead Data Engineer

JPMorganChase; Bengaluru; On-site; INR 13,333,000 - 19,048,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Data Engineer - Vice President to join the International Consumer Bank. You will deliver end-to-end data pipelines, collaborate with product teams, and drive scalable, secure data solutions across banking functions.

The role emphasizes cloud-based architectures, domain modeling, testing, and mentoring teammates within a diverse, distributed engineering team. This position offers global exposure and advanced analytics impact.

Qualifications

• Formal training or certification in data engineering.
• Recent hands-on experience as a data engineer.
• Experience coding in Python.
• Experience designing and implementing tests (unit, component, integration, end-to-end, performance, etc.).
• Excellent written and verbal communication skills in English.
• Experience with cloud technologies and distributed systems.
• Experience with data transformation frameworks and data pipeline orchestration tools.
• Experience managing large volumes of data and optimizing data processing.
• Understanding of event-based architecture, data streaming, and messaging frameworks.
• Ability to coach team members on coding practices, design principles, and implementation patterns.
• Stakeholder management and effective prioritization across multiple work streams.

Responsibilities

• Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and best industry practices.
• Use domain modeling techniques to build best-in-class business products.
• Structure software for easy understanding, testing, and evolution.
• Build solutions that avoid single points of failure using scalable architectural patterns.
• Develop secure code to protect our customers and ourselves from malicious actors.
• Promptly investigate and fix issues, ensuring they do not resurface.
• Ensure releases happen with zero downtime for end-users.
• Optimize data writing and reading for our needs.
• Monitor performance, identifying and solving problems effectively and ensure systems are reliable and easy to operate.
• Continuously update technologies and patterns.
• Support products through their entire lifecycle, including production and incident management.

Skills

Python

Cloud computing

Data engineering

Testing design

English communication

Distributed systems

Data pipelines

Mentoring

Event-driven

Stakeholder management

Tools

AWS

RESTful APIs

Job description

Job Description

At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.

Lead Data Engineer - Vice President

At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Lead Data Engineer - Vice President at JPMorgan Chase within the International Consumer Bank, you will be part of a team that plays a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals who are solution oriented, with a curious mindset, a passion for collaboration, and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product data models and deliver tailored data solutions that meet business needs.

Job Responsibilities

• Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and best industry practices.
• Use domain modeling techniques to build best-in-class business products.
• Structure software for easy understanding, testing, and evolution.
• Build solutions that avoid single points of failure using scalable architectural patterns.
• Develop secure code to protect our customers and ourselves from malicious actors.
• Promptly investigate and fix issues, ensuring they do not resurface.
• Ensure releases happen with zero downtime for end-users.
• Optimize data writing and reading for our needs.
• Monitor performance, identifying and solving problems effectively and ensure systems are reliable and easy to operate.
• Continuously update technologies and patterns.
• Support products through their entire lifecycle, including production and incident management.

Required Qualifications, Capabilities And Skills

• Formal training or certification in data engineering concepts and applied experience.
• Recent hands‑on professional experience as a data engineer.
• Experience coding in a recent version of Python.
• Experience designing and implementing effective tests (unit, component, integration, end‑to‑end, performance, etc.).
• Excellent written and verbal communication skills in English.
• Experience with cloud technologies and distributed systems.
• Experience with data transformation frameworks and data pipeline orchestration tools.
• Experience managing large volumes of data and optimizing data processing.
• Understanding of event‑based architecture, data streaming, and messaging frameworks.
• Ability to coach team members on coding practices, design principles, and implementation patterns.
• Stakeholder management and effective prioritization across multiple work streams.

Preferred Qualifications, Capabilities And Skills

• Experience in a highly regulated environment/industry.
• Experience with AWS cloud technologies.
• Experience with data governance frameworks.
• Understanding of incremental data processing and versioning.
• Understanding of RESTful APIs and web technologies.

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