Lead Data Engineer

Location: Columbus, OH, United States

Job Family: Data Engineering

About the Role

As a Lead Data Engineer at JP Morgan Chase in Columbus, OH, you will play a pivotal role in maintaining and enhancing critical data pipelines and architectures that power our world-class financial services. In this position, you will be an integral part of an agile team, driving the development of robust data systems that support everything from real-time trading analytics to comprehensive risk management. Your work will directly contribute to JP Morgan's commitment to innovation and reliability in the global financial industry, ensuring that our data infrastructure handles massive volumes of sensitive information with precision and security. This role demands a blend of technical expertise and strategic thinking to align data solutions with business objectives in a highly regulated environment. Key responsibilities include designing scalable ETL processes using tools like Apache Spark and Kafka to ingest, process, and deliver data for applications across investment banking, consumer finance, and asset management. You will collaborate closely with data scientists, product owners, and compliance teams to implement data governance frameworks that adhere to standards such as SOX and GDPR, mitigating risks while enabling data-driven decision-making. Additionally, you will lead efforts to optimize cloud-based architectures on platforms like AWS, reducing latency and costs for high-frequency financial operations. Your leadership will involve mentoring team members and fostering best practices to maintain the integrity and performance of our data ecosystem. At JP Morgan Chase, we value engineers who thrive in dynamic, collaborative settings and are passionate about leveraging technology to solve complex financial challenges. This position offers the opportunity to work on cutting-edge projects that impact millions of customers worldwide, with access to top-tier resources and professional growth opportunities. If you have a proven track record in data engineering within finance and a drive to innovate, join us in shaping the future of banking through superior data engineering excellence.

Key Responsibilities

• Design, build, and optimize scalable data pipelines to support critical financial analytics and reporting across JP Morgan Chase's global operations
• Collaborate with agile teams to integrate data architectures that ensure high availability and performance for trading, risk assessment, and customer insights
• Implement data quality controls and monitoring to maintain integrity in financial datasets, adhering to industry regulations
• Troubleshoot and resolve issues in production data environments, minimizing downtime for mission-critical systems
• Leverage cloud-native tools to migrate and modernize legacy data systems, enhancing efficiency in a secure financial context
• Partner with data scientists and analysts to provide clean, accessible data for advanced modeling in areas like fraud detection and portfolio management
• Conduct code reviews and contribute to best practices for data engineering within JP Morgan's technology standards
• Stay abreast of emerging technologies and recommend innovations to improve data handling in the financial services sector
• Ensure compliance with JP Morgan's data security policies and financial regulatory requirements in all engineering activities
• Mentor junior team members and foster a culture of continuous learning in data engineering practices

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
• 5+ years of experience in data engineering, with a focus on building and maintaining data pipelines in a financial services environment
• Proficiency in programming languages such as Python, Java, or Scala for data processing and ETL development
• Experience with cloud platforms like AWS, Azure, or Google Cloud, including data storage and compute services
• Strong understanding of data governance, security, and compliance standards relevant to the financial industry (e.g., GDPR, SOX)
• Demonstrated ability to work in agile methodologies and collaborate with cross-functional teams in a fast-paced setting
• Experience with big data technologies such as Hadoop, Spark, or Kafka for handling large-scale financial datasets

Preferred Qualifications

• Advanced certifications in cloud data engineering (e.g., AWS Certified Data Analytics or Google Professional Data Engineer)
• Prior experience at a major financial institution, with knowledge of risk management and regulatory reporting
• Familiarity with machine learning pipelines and integration with data engineering workflows
• Experience leading small teams or mentoring junior engineers in data projects
• Domain knowledge in capital markets, banking operations, or investment services

Required Skills

• Expertise in ETL tools like Apache Airflow, Talend, or Informatica
• Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
• Strong knowledge of data warehousing solutions such as Snowflake or Redshift
• Experience with stream processing frameworks like Apache Kafka or Flink
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Skills in version control systems like Git and CI/CD pipelines
• Understanding of data modeling and schema design for financial applications
• Ability to analyze complex datasets for business intelligence in banking
• Excellent problem-solving and debugging skills in high-stakes environments
• Strong communication skills for collaborating with stakeholders in finance
• Agile and Scrum methodologies for team-based development
• Knowledge of cybersecurity best practices for sensitive financial data
• Proficiency in Python or Java for scripting and automation
• Experience with big data analytics using Spark or Hadoop ecosystems
• Adaptability to evolving regulatory landscapes in financial services

Benefits

• Comprehensive health, dental, and vision insurance plans with multiple coverage options
• 401(k) retirement savings plan with generous company matching contributions
• Paid time off including vacation, sick days, and parental leave
• Professional development programs and tuition reimbursement for advanced certifications
• Employee stock purchase plan and performance-based bonuses
• Wellness programs including gym memberships, mental health support, and fitness challenges
• Flexible work arrangements, including hybrid options in Columbus, OH
• Access to JP Morgan's global mobility programs for career advancement opportunities

JP Morgan Chase is an equal opportunity employer.