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Lead Data Engineer - Branch Workplace Technology

JP Morgan Chase

Software and Technology Jobs

Lead Data Engineer - Branch Workplace Technology

full-timePosted: Dec 8, 2025

Job Description

Lead Data Engineer - Branch Workplace Technology

Location: Westerville, OH, United States

Job Family: Data Engineering

About the Role

At JP Morgan Chase, we are at the forefront of transforming the financial services industry through innovative technology solutions. As a Lead Data Engineer in Branch Workplace Technology, you will play a pivotal role in maintaining and enhancing critical data pipelines and architectures that power our global branch network. Based in Westerville, OH, you will work within an agile team environment, collaborating with cross-functional partners to ensure seamless data flow for workplace tools that support millions of daily transactions. Your expertise will directly contribute to delivering reliable, scalable data solutions that drive operational efficiency and customer satisfaction in our banking operations. In this leadership position, you will design and optimize data infrastructures using cutting-edge technologies tailored to the unique demands of financial services, such as real-time processing of sensitive transactional data while adhering to strict compliance standards like those set by the SEC and FDIC. You will lead efforts to integrate cloud-based systems, automate data workflows, and implement robust monitoring to prevent disruptions in branch environments. By fostering innovation within the team, you will help JP Morgan Chase maintain its position as a leader in secure, data-driven banking, enabling features like personalized client services and predictive branch analytics. We value engineers who thrive in dynamic, regulated settings and are passionate about leveraging data to solve complex business challenges. Joining our team means access to world-class resources, ongoing professional growth, and the opportunity to impact the future of finance. If you are ready to lead data engineering initiatives that support JP Morgan Chase's commitment to excellence, we invite you to apply and help shape the next generation of branch workplace technology.

Key Responsibilities

  • Design, build, and maintain robust data pipelines and architectures to support branch workplace technologies across multiple platforms
  • Collaborate with agile teams, including data scientists and business analysts, to ensure data integrity and availability for critical financial operations
  • Optimize data storage and retrieval systems to handle high-volume transactional data from JP Morgan Chase's global branch network
  • Implement data quality controls and monitoring to comply with regulatory requirements in the financial services industry
  • Troubleshoot and resolve complex data issues, minimizing downtime for branch systems and enhancing user experience
  • Integrate emerging technologies like AI and cloud services to improve data processing efficiency for workplace tools
  • Conduct performance tuning and scalability assessments for data infrastructures supporting real-time decision-making
  • Document data architectures and processes, providing guidance to team members on best practices in financial data engineering
  • Participate in code reviews and contribute to the continuous improvement of engineering standards at JP Morgan Chase
  • Stay abreast of industry trends in data engineering to recommend innovations for branch technology enhancements

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 5+ years of experience in data engineering, with a focus on building and maintaining data pipelines in a financial services environment
  • Proven track record working in agile teams, delivering scalable data solutions for enterprise-level applications
  • Strong understanding of data governance, compliance, and security standards relevant to the banking industry (e.g., GDPR, SOX)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, particularly in data-intensive financial applications
  • Demonstrated ability to handle large-scale data processing and optimization for real-time branch operations
  • Excellent problem-solving skills and ability to thrive in a fast-paced, regulated environment

Preferred Qualifications

  • Experience in the financial services sector, specifically with branch banking or workplace technology systems
  • Familiarity with JP Morgan Chase's technology stack and methodologies
  • Certification in data engineering tools (e.g., AWS Certified Data Analytics, Google Professional Data Engineer)
  • Prior leadership experience mentoring junior engineers in data pipeline development
  • Knowledge of machine learning integration for predictive analytics in financial data

Required Skills

  • Proficiency in Python, Java, or Scala for data pipeline development
  • Expertise in ETL tools like Apache Airflow, Talend, or Informatica
  • Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Experience with big data technologies such as Hadoop, Spark, or Kafka
  • Cloud computing skills in AWS (e.g., S3, EMR, Lambda) or equivalent
  • Data modeling and architecture design for financial datasets
  • Agile methodologies and tools like Jira or Confluence
  • Version control with Git and CI/CD pipelines (e.g., Jenkins)
  • Analytical thinking and problem-solving in high-stakes environments
  • Communication skills for cross-functional collaboration
  • Understanding of financial regulations and data security protocols
  • Scripting and automation for operational efficiency
  • Performance optimization for large-scale data systems
  • Team leadership and mentoring abilities
  • Adaptability to evolving technologies in banking

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
  • Flexible work arrangements, including hybrid options in Westerville, OH
  • Wellness programs with gym memberships, mental health support, and onsite fitness facilities

JP Morgan Chase is an equal opportunity employer.

Locations

  • Westerville, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 250,000 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 pipeline developmentintermediate
  • Expertise in ETL tools like Apache Airflow, Talend, or Informaticaintermediate
  • Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • Experience with big data technologies such as Hadoop, Spark, or Kafkaintermediate
  • Cloud computing skills in AWS (e.g., S3, EMR, Lambda) or equivalentintermediate
  • Data modeling and architecture design for financial datasetsintermediate
  • Agile methodologies and tools like Jira or Confluenceintermediate
  • Version control with Git and CI/CD pipelines (e.g., Jenkins)intermediate
  • Analytical thinking and problem-solving in high-stakes environmentsintermediate
  • Communication skills for cross-functional collaborationintermediate
  • Understanding of financial regulations and data security protocolsintermediate
  • Scripting and automation for operational efficiencyintermediate
  • Performance optimization for large-scale data systemsintermediate
  • Team leadership and mentoring abilitiesintermediate
  • Adaptability to evolving technologies in bankingintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 5+ years of experience in data engineering, with a focus on building and maintaining data pipelines in a financial services environment (experience)
  • Proven track record working in agile teams, delivering scalable data solutions for enterprise-level applications (experience)
  • Strong understanding of data governance, compliance, and security standards relevant to the banking industry (e.g., GDPR, SOX) (experience)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, particularly in data-intensive financial applications (experience)
  • Demonstrated ability to handle large-scale data processing and optimization for real-time branch operations (experience)
  • Excellent problem-solving skills and ability to thrive in a fast-paced, regulated environment (experience)

Preferred Qualifications

  • Experience in the financial services sector, specifically with branch banking or workplace technology systems (experience)
  • Familiarity with JP Morgan Chase's technology stack and methodologies (experience)
  • Certification in data engineering tools (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) (experience)
  • Prior leadership experience mentoring junior engineers in data pipeline development (experience)
  • Knowledge of machine learning integration for predictive analytics in financial data (experience)

Responsibilities

  • Design, build, and maintain robust data pipelines and architectures to support branch workplace technologies across multiple platforms
  • Collaborate with agile teams, including data scientists and business analysts, to ensure data integrity and availability for critical financial operations
  • Optimize data storage and retrieval systems to handle high-volume transactional data from JP Morgan Chase's global branch network
  • Implement data quality controls and monitoring to comply with regulatory requirements in the financial services industry
  • Troubleshoot and resolve complex data issues, minimizing downtime for branch systems and enhancing user experience
  • Integrate emerging technologies like AI and cloud services to improve data processing efficiency for workplace tools
  • Conduct performance tuning and scalability assessments for data infrastructures supporting real-time decision-making
  • Document data architectures and processes, providing guidance to team members on best practices in financial data engineering
  • Participate in code reviews and contribute to the continuous improvement of engineering standards at JP Morgan Chase
  • Stay abreast of industry trends in data engineering to recommend innovations for branch technology enhancements

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: Flexible work arrangements, including hybrid options in Westerville, OH
  • general: Wellness programs with gym memberships, mental health support, and onsite fitness facilities

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JP Morgan Chase logo

Lead Data Engineer - Branch Workplace Technology

JP Morgan Chase

Software and Technology Jobs

Lead Data Engineer - Branch Workplace Technology

full-timePosted: Dec 8, 2025

Job Description

Lead Data Engineer - Branch Workplace Technology

Location: Westerville, OH, United States

Job Family: Data Engineering

About the Role

At JP Morgan Chase, we are at the forefront of transforming the financial services industry through innovative technology solutions. As a Lead Data Engineer in Branch Workplace Technology, you will play a pivotal role in maintaining and enhancing critical data pipelines and architectures that power our global branch network. Based in Westerville, OH, you will work within an agile team environment, collaborating with cross-functional partners to ensure seamless data flow for workplace tools that support millions of daily transactions. Your expertise will directly contribute to delivering reliable, scalable data solutions that drive operational efficiency and customer satisfaction in our banking operations. In this leadership position, you will design and optimize data infrastructures using cutting-edge technologies tailored to the unique demands of financial services, such as real-time processing of sensitive transactional data while adhering to strict compliance standards like those set by the SEC and FDIC. You will lead efforts to integrate cloud-based systems, automate data workflows, and implement robust monitoring to prevent disruptions in branch environments. By fostering innovation within the team, you will help JP Morgan Chase maintain its position as a leader in secure, data-driven banking, enabling features like personalized client services and predictive branch analytics. We value engineers who thrive in dynamic, regulated settings and are passionate about leveraging data to solve complex business challenges. Joining our team means access to world-class resources, ongoing professional growth, and the opportunity to impact the future of finance. If you are ready to lead data engineering initiatives that support JP Morgan Chase's commitment to excellence, we invite you to apply and help shape the next generation of branch workplace technology.

Key Responsibilities

  • Design, build, and maintain robust data pipelines and architectures to support branch workplace technologies across multiple platforms
  • Collaborate with agile teams, including data scientists and business analysts, to ensure data integrity and availability for critical financial operations
  • Optimize data storage and retrieval systems to handle high-volume transactional data from JP Morgan Chase's global branch network
  • Implement data quality controls and monitoring to comply with regulatory requirements in the financial services industry
  • Troubleshoot and resolve complex data issues, minimizing downtime for branch systems and enhancing user experience
  • Integrate emerging technologies like AI and cloud services to improve data processing efficiency for workplace tools
  • Conduct performance tuning and scalability assessments for data infrastructures supporting real-time decision-making
  • Document data architectures and processes, providing guidance to team members on best practices in financial data engineering
  • Participate in code reviews and contribute to the continuous improvement of engineering standards at JP Morgan Chase
  • Stay abreast of industry trends in data engineering to recommend innovations for branch technology enhancements

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 5+ years of experience in data engineering, with a focus on building and maintaining data pipelines in a financial services environment
  • Proven track record working in agile teams, delivering scalable data solutions for enterprise-level applications
  • Strong understanding of data governance, compliance, and security standards relevant to the banking industry (e.g., GDPR, SOX)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, particularly in data-intensive financial applications
  • Demonstrated ability to handle large-scale data processing and optimization for real-time branch operations
  • Excellent problem-solving skills and ability to thrive in a fast-paced, regulated environment

Preferred Qualifications

  • Experience in the financial services sector, specifically with branch banking or workplace technology systems
  • Familiarity with JP Morgan Chase's technology stack and methodologies
  • Certification in data engineering tools (e.g., AWS Certified Data Analytics, Google Professional Data Engineer)
  • Prior leadership experience mentoring junior engineers in data pipeline development
  • Knowledge of machine learning integration for predictive analytics in financial data

Required Skills

  • Proficiency in Python, Java, or Scala for data pipeline development
  • Expertise in ETL tools like Apache Airflow, Talend, or Informatica
  • Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Experience with big data technologies such as Hadoop, Spark, or Kafka
  • Cloud computing skills in AWS (e.g., S3, EMR, Lambda) or equivalent
  • Data modeling and architecture design for financial datasets
  • Agile methodologies and tools like Jira or Confluence
  • Version control with Git and CI/CD pipelines (e.g., Jenkins)
  • Analytical thinking and problem-solving in high-stakes environments
  • Communication skills for cross-functional collaboration
  • Understanding of financial regulations and data security protocols
  • Scripting and automation for operational efficiency
  • Performance optimization for large-scale data systems
  • Team leadership and mentoring abilities
  • Adaptability to evolving technologies in banking

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
  • Flexible work arrangements, including hybrid options in Westerville, OH
  • Wellness programs with gym memberships, mental health support, and onsite fitness facilities

JP Morgan Chase is an equal opportunity employer.

Locations

  • Westerville, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 250,000 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 pipeline developmentintermediate
  • Expertise in ETL tools like Apache Airflow, Talend, or Informaticaintermediate
  • Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • Experience with big data technologies such as Hadoop, Spark, or Kafkaintermediate
  • Cloud computing skills in AWS (e.g., S3, EMR, Lambda) or equivalentintermediate
  • Data modeling and architecture design for financial datasetsintermediate
  • Agile methodologies and tools like Jira or Confluenceintermediate
  • Version control with Git and CI/CD pipelines (e.g., Jenkins)intermediate
  • Analytical thinking and problem-solving in high-stakes environmentsintermediate
  • Communication skills for cross-functional collaborationintermediate
  • Understanding of financial regulations and data security protocolsintermediate
  • Scripting and automation for operational efficiencyintermediate
  • Performance optimization for large-scale data systemsintermediate
  • Team leadership and mentoring abilitiesintermediate
  • Adaptability to evolving technologies in bankingintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 5+ years of experience in data engineering, with a focus on building and maintaining data pipelines in a financial services environment (experience)
  • Proven track record working in agile teams, delivering scalable data solutions for enterprise-level applications (experience)
  • Strong understanding of data governance, compliance, and security standards relevant to the banking industry (e.g., GDPR, SOX) (experience)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, particularly in data-intensive financial applications (experience)
  • Demonstrated ability to handle large-scale data processing and optimization for real-time branch operations (experience)
  • Excellent problem-solving skills and ability to thrive in a fast-paced, regulated environment (experience)

Preferred Qualifications

  • Experience in the financial services sector, specifically with branch banking or workplace technology systems (experience)
  • Familiarity with JP Morgan Chase's technology stack and methodologies (experience)
  • Certification in data engineering tools (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) (experience)
  • Prior leadership experience mentoring junior engineers in data pipeline development (experience)
  • Knowledge of machine learning integration for predictive analytics in financial data (experience)

Responsibilities

  • Design, build, and maintain robust data pipelines and architectures to support branch workplace technologies across multiple platforms
  • Collaborate with agile teams, including data scientists and business analysts, to ensure data integrity and availability for critical financial operations
  • Optimize data storage and retrieval systems to handle high-volume transactional data from JP Morgan Chase's global branch network
  • Implement data quality controls and monitoring to comply with regulatory requirements in the financial services industry
  • Troubleshoot and resolve complex data issues, minimizing downtime for branch systems and enhancing user experience
  • Integrate emerging technologies like AI and cloud services to improve data processing efficiency for workplace tools
  • Conduct performance tuning and scalability assessments for data infrastructures supporting real-time decision-making
  • Document data architectures and processes, providing guidance to team members on best practices in financial data engineering
  • Participate in code reviews and contribute to the continuous improvement of engineering standards at JP Morgan Chase
  • Stay abreast of industry trends in data engineering to recommend innovations for branch technology enhancements

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: Flexible work arrangements, including hybrid options in Westerville, OH
  • general: Wellness programs with gym memberships, mental health support, and onsite fitness facilities

Target Your Resume for "Lead Data Engineer - Branch Workplace Technology" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Lead Data Engineer - Branch Workplace Technology. Takes only 15 seconds!

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

Check Your ATS Score for "Lead Data Engineer - Branch Workplace Technology" , 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 Lead Data Engineer - Branch Workplace Technology @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.