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Senior Lead Software Engineer - Data Engineer

JP Morgan Chase

Software and Technology Jobs

Senior Lead Software Engineer - Data Engineer

full-timePosted: Nov 19, 2025

Job Description

Senior Lead Software Engineer - Data Engineer

Location: Mumbai, Maharashtra, India

Job Family: Data Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our technology teams play a pivotal role in driving business success. As a Senior Lead Software Engineer - Data Engineer in our Mumbai office, you will lead the charge in building robust data infrastructures that power everything from risk analytics to customer insights in the global financial services landscape. This role offers the opportunity to tackle diverse challenges across multiple technologies, including big data processing and cloud-based solutions, while contributing to high-impact projects that enhance our competitive edge in banking and investment services. You will work in a collaborative environment with access to cutting-edge tools and resources, ensuring your solutions scale to handle petabytes of financial data securely and efficiently. In this leadership position, you will architect and optimize data pipelines that integrate disparate sources of market data, transaction records, and regulatory feeds, all while adhering to stringent compliance requirements like those from the RBI and international standards. Your expertise will be crucial in leveraging technologies such as Spark, Kafka, and AWS to enable real-time analytics for fraud detection and portfolio management. Collaborating with data scientists and business leaders, you will translate complex financial requirements into actionable engineering strategies, fostering innovation in areas like AI-driven predictive modeling. This role demands not only technical prowess but also the ability to mentor teams and drive agile delivery in a dynamic, high-stakes setting. Joining JP Morgan Chase means becoming part of a world-class organization committed to excellence and employee growth. You will benefit from our culture of inclusion, where diverse perspectives fuel groundbreaking solutions in the financial industry. With opportunities for global exposure and professional advancement, this position is ideal for a seasoned data engineer passionate about making a tangible impact on one of the world's leading financial institutions.

Key Responsibilities

  • Lead the design, development, and optimization of complex data pipelines to support JP Morgan Chase's global financial operations
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to identify and solve data-related challenges
  • Implement scalable data architectures using cloud-native technologies to handle high-volume financial transactions and analytics
  • Ensure data quality, integrity, and security in compliance with industry regulations and JP Morgan's internal standards
  • Mentor junior engineers and drive best practices in data engineering methodologies
  • Integrate machine learning models into data workflows to enhance predictive analytics for risk management and fraud detection
  • Monitor and troubleshoot data systems to maintain 99.9% uptime for critical financial applications
  • Contribute to innovation initiatives by exploring emerging technologies like real-time streaming and AI-driven data processing
  • Document technical solutions and provide knowledge transfer to support team scalability
  • Participate in code reviews and agile ceremonies to foster a culture of continuous improvement

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 8+ years of experience in software engineering with a focus on data engineering
  • Proven track record in designing and implementing scalable data pipelines in a financial services environment
  • Strong proficiency in programming languages such as Python, Java, or Scala
  • Experience with big data technologies like Hadoop, Spark, and Kafka
  • Knowledge of cloud platforms such as AWS, Azure, or GCP, with emphasis on data storage and processing
  • Demonstrated ability to lead cross-functional teams in delivering high-impact data solutions

Preferred Qualifications

  • Experience in financial services, particularly in banking or investment management
  • Familiarity with regulatory compliance standards like GDPR, SOX, or Basel III
  • Advanced certifications in data engineering (e.g., AWS Certified Data Analytics or Google Professional Data Engineer)
  • Prior leadership role in agile development teams within a large-scale enterprise
  • Hands-on experience with machine learning pipelines for financial data analytics

Required Skills

  • Expertise in ETL/ELT processes and data modeling
  • Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Strong experience with Apache Spark and distributed computing frameworks
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes
  • Familiarity with CI/CD pipelines using Jenkins or GitLab
  • Skills in data visualization tools such as Tableau or Power BI
  • Understanding of financial data concepts like market data feeds and transaction processing
  • Excellent problem-solving and analytical thinking
  • Strong communication and collaboration abilities in a team environment
  • Leadership and mentoring skills for guiding engineering teams
  • Agile methodologies and scrum framework experience
  • Risk assessment and mitigation in data security contexts
  • Adaptability to fast-paced, high-stakes financial environments
  • Proficiency in version control systems like Git

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial industry standards
  • Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through JP Morgan's internal training programs and certifications
  • Employee wellness programs featuring gym memberships, mental health support, and financial wellness workshops
  • Flexible work arrangements including hybrid options in Mumbai and global mobility support
  • Stock purchase plan and employee discounts on financial products and services

JP Morgan Chase is an equal opportunity employer.

Locations

  • Mumbai, IN

Salary

Estimated Salary Rangehigh confidence

4,500,000 - 7,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Expertise in ETL/ELT processes and data modelingintermediate
  • Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • Strong experience with Apache Spark and distributed computing frameworksintermediate
  • Knowledge of containerization and orchestration tools like Docker and Kubernetesintermediate
  • Familiarity with CI/CD pipelines using Jenkins or GitLabintermediate
  • Skills in data visualization tools such as Tableau or Power BIintermediate
  • Understanding of financial data concepts like market data feeds and transaction processingintermediate
  • Excellent problem-solving and analytical thinkingintermediate
  • Strong communication and collaboration abilities in a team environmentintermediate
  • Leadership and mentoring skills for guiding engineering teamsintermediate
  • Agile methodologies and scrum framework experienceintermediate
  • Risk assessment and mitigation in data security contextsintermediate
  • Adaptability to fast-paced, high-stakes financial environmentsintermediate
  • Proficiency in version control systems like Gitintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 8+ years of experience in software engineering with a focus on data engineering (experience)
  • Proven track record in designing and implementing scalable data pipelines in a financial services environment (experience)
  • Strong proficiency in programming languages such as Python, Java, or Scala (experience)
  • Experience with big data technologies like Hadoop, Spark, and Kafka (experience)
  • Knowledge of cloud platforms such as AWS, Azure, or GCP, with emphasis on data storage and processing (experience)
  • Demonstrated ability to lead cross-functional teams in delivering high-impact data solutions (experience)

Preferred Qualifications

  • Experience in financial services, particularly in banking or investment management (experience)
  • Familiarity with regulatory compliance standards like GDPR, SOX, or Basel III (experience)
  • Advanced certifications in data engineering (e.g., AWS Certified Data Analytics or Google Professional Data Engineer) (experience)
  • Prior leadership role in agile development teams within a large-scale enterprise (experience)
  • Hands-on experience with machine learning pipelines for financial data analytics (experience)

Responsibilities

  • Lead the design, development, and optimization of complex data pipelines to support JP Morgan Chase's global financial operations
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to identify and solve data-related challenges
  • Implement scalable data architectures using cloud-native technologies to handle high-volume financial transactions and analytics
  • Ensure data quality, integrity, and security in compliance with industry regulations and JP Morgan's internal standards
  • Mentor junior engineers and drive best practices in data engineering methodologies
  • Integrate machine learning models into data workflows to enhance predictive analytics for risk management and fraud detection
  • Monitor and troubleshoot data systems to maintain 99.9% uptime for critical financial applications
  • Contribute to innovation initiatives by exploring emerging technologies like real-time streaming and AI-driven data processing
  • Document technical solutions and provide knowledge transfer to support team scalability
  • Participate in code reviews and agile ceremonies to foster a culture of continuous improvement

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial industry standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through JP Morgan's internal training programs and certifications
  • general: Employee wellness programs featuring gym memberships, mental health support, and financial wellness workshops
  • general: Flexible work arrangements including hybrid options in Mumbai and global mobility support
  • general: Stock purchase plan and employee discounts on financial products and services

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JP Morgan Chase logo

Senior Lead Software Engineer - Data Engineer

JP Morgan Chase

Software and Technology Jobs

Senior Lead Software Engineer - Data Engineer

full-timePosted: Nov 19, 2025

Job Description

Senior Lead Software Engineer - Data Engineer

Location: Mumbai, Maharashtra, India

Job Family: Data Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our technology teams play a pivotal role in driving business success. As a Senior Lead Software Engineer - Data Engineer in our Mumbai office, you will lead the charge in building robust data infrastructures that power everything from risk analytics to customer insights in the global financial services landscape. This role offers the opportunity to tackle diverse challenges across multiple technologies, including big data processing and cloud-based solutions, while contributing to high-impact projects that enhance our competitive edge in banking and investment services. You will work in a collaborative environment with access to cutting-edge tools and resources, ensuring your solutions scale to handle petabytes of financial data securely and efficiently. In this leadership position, you will architect and optimize data pipelines that integrate disparate sources of market data, transaction records, and regulatory feeds, all while adhering to stringent compliance requirements like those from the RBI and international standards. Your expertise will be crucial in leveraging technologies such as Spark, Kafka, and AWS to enable real-time analytics for fraud detection and portfolio management. Collaborating with data scientists and business leaders, you will translate complex financial requirements into actionable engineering strategies, fostering innovation in areas like AI-driven predictive modeling. This role demands not only technical prowess but also the ability to mentor teams and drive agile delivery in a dynamic, high-stakes setting. Joining JP Morgan Chase means becoming part of a world-class organization committed to excellence and employee growth. You will benefit from our culture of inclusion, where diverse perspectives fuel groundbreaking solutions in the financial industry. With opportunities for global exposure and professional advancement, this position is ideal for a seasoned data engineer passionate about making a tangible impact on one of the world's leading financial institutions.

Key Responsibilities

  • Lead the design, development, and optimization of complex data pipelines to support JP Morgan Chase's global financial operations
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to identify and solve data-related challenges
  • Implement scalable data architectures using cloud-native technologies to handle high-volume financial transactions and analytics
  • Ensure data quality, integrity, and security in compliance with industry regulations and JP Morgan's internal standards
  • Mentor junior engineers and drive best practices in data engineering methodologies
  • Integrate machine learning models into data workflows to enhance predictive analytics for risk management and fraud detection
  • Monitor and troubleshoot data systems to maintain 99.9% uptime for critical financial applications
  • Contribute to innovation initiatives by exploring emerging technologies like real-time streaming and AI-driven data processing
  • Document technical solutions and provide knowledge transfer to support team scalability
  • Participate in code reviews and agile ceremonies to foster a culture of continuous improvement

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 8+ years of experience in software engineering with a focus on data engineering
  • Proven track record in designing and implementing scalable data pipelines in a financial services environment
  • Strong proficiency in programming languages such as Python, Java, or Scala
  • Experience with big data technologies like Hadoop, Spark, and Kafka
  • Knowledge of cloud platforms such as AWS, Azure, or GCP, with emphasis on data storage and processing
  • Demonstrated ability to lead cross-functional teams in delivering high-impact data solutions

Preferred Qualifications

  • Experience in financial services, particularly in banking or investment management
  • Familiarity with regulatory compliance standards like GDPR, SOX, or Basel III
  • Advanced certifications in data engineering (e.g., AWS Certified Data Analytics or Google Professional Data Engineer)
  • Prior leadership role in agile development teams within a large-scale enterprise
  • Hands-on experience with machine learning pipelines for financial data analytics

Required Skills

  • Expertise in ETL/ELT processes and data modeling
  • Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Strong experience with Apache Spark and distributed computing frameworks
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes
  • Familiarity with CI/CD pipelines using Jenkins or GitLab
  • Skills in data visualization tools such as Tableau or Power BI
  • Understanding of financial data concepts like market data feeds and transaction processing
  • Excellent problem-solving and analytical thinking
  • Strong communication and collaboration abilities in a team environment
  • Leadership and mentoring skills for guiding engineering teams
  • Agile methodologies and scrum framework experience
  • Risk assessment and mitigation in data security contexts
  • Adaptability to fast-paced, high-stakes financial environments
  • Proficiency in version control systems like Git

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial industry standards
  • Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through JP Morgan's internal training programs and certifications
  • Employee wellness programs featuring gym memberships, mental health support, and financial wellness workshops
  • Flexible work arrangements including hybrid options in Mumbai and global mobility support
  • Stock purchase plan and employee discounts on financial products and services

JP Morgan Chase is an equal opportunity employer.

Locations

  • Mumbai, IN

Salary

Estimated Salary Rangehigh confidence

4,500,000 - 7,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Expertise in ETL/ELT processes and data modelingintermediate
  • Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • Strong experience with Apache Spark and distributed computing frameworksintermediate
  • Knowledge of containerization and orchestration tools like Docker and Kubernetesintermediate
  • Familiarity with CI/CD pipelines using Jenkins or GitLabintermediate
  • Skills in data visualization tools such as Tableau or Power BIintermediate
  • Understanding of financial data concepts like market data feeds and transaction processingintermediate
  • Excellent problem-solving and analytical thinkingintermediate
  • Strong communication and collaboration abilities in a team environmentintermediate
  • Leadership and mentoring skills for guiding engineering teamsintermediate
  • Agile methodologies and scrum framework experienceintermediate
  • Risk assessment and mitigation in data security contextsintermediate
  • Adaptability to fast-paced, high-stakes financial environmentsintermediate
  • Proficiency in version control systems like Gitintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 8+ years of experience in software engineering with a focus on data engineering (experience)
  • Proven track record in designing and implementing scalable data pipelines in a financial services environment (experience)
  • Strong proficiency in programming languages such as Python, Java, or Scala (experience)
  • Experience with big data technologies like Hadoop, Spark, and Kafka (experience)
  • Knowledge of cloud platforms such as AWS, Azure, or GCP, with emphasis on data storage and processing (experience)
  • Demonstrated ability to lead cross-functional teams in delivering high-impact data solutions (experience)

Preferred Qualifications

  • Experience in financial services, particularly in banking or investment management (experience)
  • Familiarity with regulatory compliance standards like GDPR, SOX, or Basel III (experience)
  • Advanced certifications in data engineering (e.g., AWS Certified Data Analytics or Google Professional Data Engineer) (experience)
  • Prior leadership role in agile development teams within a large-scale enterprise (experience)
  • Hands-on experience with machine learning pipelines for financial data analytics (experience)

Responsibilities

  • Lead the design, development, and optimization of complex data pipelines to support JP Morgan Chase's global financial operations
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to identify and solve data-related challenges
  • Implement scalable data architectures using cloud-native technologies to handle high-volume financial transactions and analytics
  • Ensure data quality, integrity, and security in compliance with industry regulations and JP Morgan's internal standards
  • Mentor junior engineers and drive best practices in data engineering methodologies
  • Integrate machine learning models into data workflows to enhance predictive analytics for risk management and fraud detection
  • Monitor and troubleshoot data systems to maintain 99.9% uptime for critical financial applications
  • Contribute to innovation initiatives by exploring emerging technologies like real-time streaming and AI-driven data processing
  • Document technical solutions and provide knowledge transfer to support team scalability
  • Participate in code reviews and agile ceremonies to foster a culture of continuous improvement

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial industry standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through JP Morgan's internal training programs and certifications
  • general: Employee wellness programs featuring gym memberships, mental health support, and financial wellness workshops
  • general: Flexible work arrangements including hybrid options in Mumbai and global mobility support
  • general: Stock purchase plan and employee discounts on financial products and services

Target Your Resume for "Senior Lead Software Engineer - Data Engineer" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Senior Lead Software Engineer - Data Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Lead Software Engineer - Data Engineer" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data EngineeringFinancial ServicesBankingJP MorganData Engineering

Answer 10 quick questions to check your fit for Senior Lead Software Engineer - Data Engineer @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.