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Sr Lead Software Engineer- Data

JP Morgan Chase

Software and Technology Jobs

Sr Lead Software Engineer- Data

full-timePosted: Nov 25, 2025

Job Description

Sr Lead Software Engineer- Data

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Sr Lead Software Engineer - Data role in Jersey City, NJ, offers a unique opportunity to drive significant business impact. As a key member of our technology team, you will tackle diverse challenges spanning multiple technologies and applications, from building robust data infrastructures that power global trading platforms to enabling advanced analytics for risk management and customer insights. In this senior leadership position within the Software Engineering category, you will lead initiatives that ensure our data systems are scalable, secure, and compliant with stringent financial regulations, directly contributing to the firm's mission of delivering superior client experiences and operational excellence. Your responsibilities will include architecting end-to-end data solutions using cutting-edge tools like Apache Spark and cloud-native services, while collaborating with data scientists, business analysts, and executives to translate complex financial requirements into actionable technical strategies. You will mentor a team of engineers, foster a culture of innovation, and optimize data pipelines to handle the massive volumes of real-time market data that define our operations. This role demands a deep understanding of the financial services industry, where precision and reliability are paramount, and your work will influence critical areas such as investment banking, asset management, and regulatory reporting. Joining JP Morgan Chase means becoming part of a world-class organization that values diversity, inclusion, and professional growth. We offer a dynamic environment in Jersey City, with access to state-of-the-art facilities and opportunities to work on projects that shape the future of finance. If you are a seasoned engineer passionate about leveraging data to solve real-world problems, this position provides the platform to lead transformative initiatives and advance your career in one of the most influential firms in the industry.

Key Responsibilities

  • Lead the design, development, and deployment of advanced data engineering solutions 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 complex data challenges
  • Architect scalable data pipelines and storage systems using technologies like Hadoop, Spark, and cloud-native services to handle petabyte-scale financial datasets
  • Ensure data quality, security, and compliance with industry regulations, mitigating risks in trading, risk management, and customer data processing
  • Mentor junior engineers and drive best practices in software development within an agile framework
  • Innovate and optimize data workflows to deliver actionable insights that drive business decisions and revenue growth
  • Integrate machine learning models into data platforms to enhance predictive analytics for investment banking and asset management
  • Monitor and troubleshoot production data systems, ensuring high availability and performance during market volatility
  • Contribute to strategic initiatives, such as migrating legacy systems to modern cloud architectures
  • Communicate technical concepts to non-technical audiences, aligning data strategies with JP Morgan's business objectives

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 8+ years of experience in software engineering with a focus on data-intensive applications
  • Proven track record in designing and implementing scalable data pipelines and architectures in a financial services environment
  • Strong understanding of data governance, compliance, and regulatory requirements such as GDPR and SEC standards
  • Experience with agile methodologies and leading cross-functional teams in high-stakes projects
  • Demonstrated ability to drive business impact through innovative data solutions in banking or fintech
  • Excellent problem-solving skills and ability to handle complex, ambiguous challenges

Preferred Qualifications

  • Master's degree in Data Science, Computer Science, or equivalent
  • Experience working at a major financial institution like JP Morgan Chase or similar
  • Familiarity with JP Morgan's internal data platforms and tools
  • Certifications in cloud technologies (e.g., AWS Certified Data Analytics) or big data frameworks
  • Prior leadership in data engineering projects involving machine learning integration

Required Skills

  • Proficiency in Python, Java, or Scala for data processing and ETL development
  • Expertise in big data technologies such as Apache Spark, Kafka, and Hadoop
  • Experience with cloud platforms like AWS, Azure, or GCP for data storage and analytics
  • Knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)
  • Strong understanding of data modeling, warehousing, and ETL/ELT processes
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes
  • Skills in version control systems such as Git and CI/CD pipelines (e.g., Jenkins)
  • Experience with data visualization tools like Tableau or Power BI
  • Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) for integration with data pipelines
  • Excellent communication and collaboration skills for team leadership
  • Problem-solving and analytical thinking in high-pressure financial environments
  • Knowledge of cybersecurity best practices and data encryption standards
  • Agile and Scrum methodologies for project management
  • Financial domain knowledge, including risk modeling and regulatory reporting
  • Adaptability to evolving technologies and business needs

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements, including hybrid options in Jersey City

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 400,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in Python, Java, or Scala for data processing and ETL developmentintermediate
  • Expertise in big data technologies such as Apache Spark, Kafka, and Hadoopintermediate
  • Experience with cloud platforms like AWS, Azure, or GCP for data storage and analyticsintermediate
  • Knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)intermediate
  • Strong understanding of data modeling, warehousing, and ETL/ELT processesintermediate
  • Familiarity with containerization and orchestration tools like Docker and Kubernetesintermediate
  • Skills in version control systems such as Git and CI/CD pipelines (e.g., Jenkins)intermediate
  • Experience with data visualization tools like Tableau or Power BIintermediate
  • Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) for integration with data pipelinesintermediate
  • Excellent communication and collaboration skills for team leadershipintermediate
  • Problem-solving and analytical thinking in high-pressure financial environmentsintermediate
  • Knowledge of cybersecurity best practices and data encryption standardsintermediate
  • Agile and Scrum methodologies for project managementintermediate
  • Financial domain knowledge, including risk modeling and regulatory reportingintermediate
  • Adaptability to evolving technologies and business needsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 8+ years of experience in software engineering with a focus on data-intensive applications (experience)
  • Proven track record in designing and implementing scalable data pipelines and architectures in a financial services environment (experience)
  • Strong understanding of data governance, compliance, and regulatory requirements such as GDPR and SEC standards (experience)
  • Experience with agile methodologies and leading cross-functional teams in high-stakes projects (experience)
  • Demonstrated ability to drive business impact through innovative data solutions in banking or fintech (experience)
  • Excellent problem-solving skills and ability to handle complex, ambiguous challenges (experience)

Preferred Qualifications

  • Master's degree in Data Science, Computer Science, or equivalent (experience)
  • Experience working at a major financial institution like JP Morgan Chase or similar (experience)
  • Familiarity with JP Morgan's internal data platforms and tools (experience)
  • Certifications in cloud technologies (e.g., AWS Certified Data Analytics) or big data frameworks (experience)
  • Prior leadership in data engineering projects involving machine learning integration (experience)

Responsibilities

  • Lead the design, development, and deployment of advanced data engineering solutions 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 complex data challenges
  • Architect scalable data pipelines and storage systems using technologies like Hadoop, Spark, and cloud-native services to handle petabyte-scale financial datasets
  • Ensure data quality, security, and compliance with industry regulations, mitigating risks in trading, risk management, and customer data processing
  • Mentor junior engineers and drive best practices in software development within an agile framework
  • Innovate and optimize data workflows to deliver actionable insights that drive business decisions and revenue growth
  • Integrate machine learning models into data platforms to enhance predictive analytics for investment banking and asset management
  • Monitor and troubleshoot production data systems, ensuring high availability and performance during market volatility
  • Contribute to strategic initiatives, such as migrating legacy systems to modern cloud architectures
  • Communicate technical concepts to non-technical audiences, aligning data strategies with JP Morgan's business objectives

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Jersey City

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JP Morgan Chase logo

Sr Lead Software Engineer- Data

JP Morgan Chase

Software and Technology Jobs

Sr Lead Software Engineer- Data

full-timePosted: Nov 25, 2025

Job Description

Sr Lead Software Engineer- Data

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Sr Lead Software Engineer - Data role in Jersey City, NJ, offers a unique opportunity to drive significant business impact. As a key member of our technology team, you will tackle diverse challenges spanning multiple technologies and applications, from building robust data infrastructures that power global trading platforms to enabling advanced analytics for risk management and customer insights. In this senior leadership position within the Software Engineering category, you will lead initiatives that ensure our data systems are scalable, secure, and compliant with stringent financial regulations, directly contributing to the firm's mission of delivering superior client experiences and operational excellence. Your responsibilities will include architecting end-to-end data solutions using cutting-edge tools like Apache Spark and cloud-native services, while collaborating with data scientists, business analysts, and executives to translate complex financial requirements into actionable technical strategies. You will mentor a team of engineers, foster a culture of innovation, and optimize data pipelines to handle the massive volumes of real-time market data that define our operations. This role demands a deep understanding of the financial services industry, where precision and reliability are paramount, and your work will influence critical areas such as investment banking, asset management, and regulatory reporting. Joining JP Morgan Chase means becoming part of a world-class organization that values diversity, inclusion, and professional growth. We offer a dynamic environment in Jersey City, with access to state-of-the-art facilities and opportunities to work on projects that shape the future of finance. If you are a seasoned engineer passionate about leveraging data to solve real-world problems, this position provides the platform to lead transformative initiatives and advance your career in one of the most influential firms in the industry.

Key Responsibilities

  • Lead the design, development, and deployment of advanced data engineering solutions 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 complex data challenges
  • Architect scalable data pipelines and storage systems using technologies like Hadoop, Spark, and cloud-native services to handle petabyte-scale financial datasets
  • Ensure data quality, security, and compliance with industry regulations, mitigating risks in trading, risk management, and customer data processing
  • Mentor junior engineers and drive best practices in software development within an agile framework
  • Innovate and optimize data workflows to deliver actionable insights that drive business decisions and revenue growth
  • Integrate machine learning models into data platforms to enhance predictive analytics for investment banking and asset management
  • Monitor and troubleshoot production data systems, ensuring high availability and performance during market volatility
  • Contribute to strategic initiatives, such as migrating legacy systems to modern cloud architectures
  • Communicate technical concepts to non-technical audiences, aligning data strategies with JP Morgan's business objectives

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 8+ years of experience in software engineering with a focus on data-intensive applications
  • Proven track record in designing and implementing scalable data pipelines and architectures in a financial services environment
  • Strong understanding of data governance, compliance, and regulatory requirements such as GDPR and SEC standards
  • Experience with agile methodologies and leading cross-functional teams in high-stakes projects
  • Demonstrated ability to drive business impact through innovative data solutions in banking or fintech
  • Excellent problem-solving skills and ability to handle complex, ambiguous challenges

Preferred Qualifications

  • Master's degree in Data Science, Computer Science, or equivalent
  • Experience working at a major financial institution like JP Morgan Chase or similar
  • Familiarity with JP Morgan's internal data platforms and tools
  • Certifications in cloud technologies (e.g., AWS Certified Data Analytics) or big data frameworks
  • Prior leadership in data engineering projects involving machine learning integration

Required Skills

  • Proficiency in Python, Java, or Scala for data processing and ETL development
  • Expertise in big data technologies such as Apache Spark, Kafka, and Hadoop
  • Experience with cloud platforms like AWS, Azure, or GCP for data storage and analytics
  • Knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)
  • Strong understanding of data modeling, warehousing, and ETL/ELT processes
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes
  • Skills in version control systems such as Git and CI/CD pipelines (e.g., Jenkins)
  • Experience with data visualization tools like Tableau or Power BI
  • Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) for integration with data pipelines
  • Excellent communication and collaboration skills for team leadership
  • Problem-solving and analytical thinking in high-pressure financial environments
  • Knowledge of cybersecurity best practices and data encryption standards
  • Agile and Scrum methodologies for project management
  • Financial domain knowledge, including risk modeling and regulatory reporting
  • Adaptability to evolving technologies and business needs

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements, including hybrid options in Jersey City

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 400,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in Python, Java, or Scala for data processing and ETL developmentintermediate
  • Expertise in big data technologies such as Apache Spark, Kafka, and Hadoopintermediate
  • Experience with cloud platforms like AWS, Azure, or GCP for data storage and analyticsintermediate
  • Knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)intermediate
  • Strong understanding of data modeling, warehousing, and ETL/ELT processesintermediate
  • Familiarity with containerization and orchestration tools like Docker and Kubernetesintermediate
  • Skills in version control systems such as Git and CI/CD pipelines (e.g., Jenkins)intermediate
  • Experience with data visualization tools like Tableau or Power BIintermediate
  • Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) for integration with data pipelinesintermediate
  • Excellent communication and collaboration skills for team leadershipintermediate
  • Problem-solving and analytical thinking in high-pressure financial environmentsintermediate
  • Knowledge of cybersecurity best practices and data encryption standardsintermediate
  • Agile and Scrum methodologies for project managementintermediate
  • Financial domain knowledge, including risk modeling and regulatory reportingintermediate
  • Adaptability to evolving technologies and business needsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 8+ years of experience in software engineering with a focus on data-intensive applications (experience)
  • Proven track record in designing and implementing scalable data pipelines and architectures in a financial services environment (experience)
  • Strong understanding of data governance, compliance, and regulatory requirements such as GDPR and SEC standards (experience)
  • Experience with agile methodologies and leading cross-functional teams in high-stakes projects (experience)
  • Demonstrated ability to drive business impact through innovative data solutions in banking or fintech (experience)
  • Excellent problem-solving skills and ability to handle complex, ambiguous challenges (experience)

Preferred Qualifications

  • Master's degree in Data Science, Computer Science, or equivalent (experience)
  • Experience working at a major financial institution like JP Morgan Chase or similar (experience)
  • Familiarity with JP Morgan's internal data platforms and tools (experience)
  • Certifications in cloud technologies (e.g., AWS Certified Data Analytics) or big data frameworks (experience)
  • Prior leadership in data engineering projects involving machine learning integration (experience)

Responsibilities

  • Lead the design, development, and deployment of advanced data engineering solutions 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 complex data challenges
  • Architect scalable data pipelines and storage systems using technologies like Hadoop, Spark, and cloud-native services to handle petabyte-scale financial datasets
  • Ensure data quality, security, and compliance with industry regulations, mitigating risks in trading, risk management, and customer data processing
  • Mentor junior engineers and drive best practices in software development within an agile framework
  • Innovate and optimize data workflows to deliver actionable insights that drive business decisions and revenue growth
  • Integrate machine learning models into data platforms to enhance predictive analytics for investment banking and asset management
  • Monitor and troubleshoot production data systems, ensuring high availability and performance during market volatility
  • Contribute to strategic initiatives, such as migrating legacy systems to modern cloud architectures
  • Communicate technical concepts to non-technical audiences, aligning data strategies with JP Morgan's business objectives

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Jersey City

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

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

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

Check Your ATS Score for "Sr Lead Software Engineer- Data" , 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

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

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

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.