About The Company
J.P. Morgan is a leading global financial services firm renowned for its comprehensive range of banking, investment, and wealth management solutions. With a rich history spanning over a century, the company has established itself as a trusted partner for individuals, corporations, and institutions worldwide. J.P. Morgan is committed to delivering innovative financial products and services that foster growth, stability, and success for its clients. The firm emphasizes a culture of integrity, excellence, and inclusivity, fostering an environment where talented professionals can thrive and contribute to shaping the future of finance.
About The Role
We are seeking a highly skilled Lead Data Engineer to join J.P. Morgan’s Consumer and Community Banking team. In this pivotal role, you will be responsible for designing, developing, and maintaining scalable data pipelines and architectures that support critical business operations. You will drive data governance initiatives, optimize system performance, and mentor a team of engineers to ensure the delivery of secure, efficient, and compliant data solutions. Collaborating closely with business stakeholders, analytics teams, and technology partners, you will play a vital role in enabling data-driven decision-making and strategic initiatives. Your expertise will help ensure that our data infrastructure remains resilient, scalable, and aligned with regulatory standards, ultimately supporting the firm’s mission to provide exceptional banking experiences to our customers.
Qualifications
The ideal candidate will possess a bachelor’s degree in Computer Science, Information Technology, or a related field, complemented by at least five years of extensive experience in data engineering. Deep expertise in AWS cloud services, Data Lake architectures, and Snowflake data warehousing is essential. Proficiency with modern data processing engines such as Spark, Flink, and Trino, along with hands-on experience with data lake and warehouse technologies like Redshift and BigQuery, is required. The candidate should demonstrate strong SQL skills and familiarity with ETL tools, as well as experience in designing streaming pipelines using Kafka, Pub/Sub, or similar messaging systems. Familiarity with AI-assisted data workflows, data modeling tools like Erwin, and familiarity with advanced table formats such as Iceberg and Hudi are preferred. Additionally, experience applying Agile methodologies, managing large-scale distributed data processing, and performance tuning in cloud environments will be advantageous.
Responsibilities
- Design, build, and optimize scalable batch and streaming data pipelines with a focus on performance, fault tolerance, and observability.
- Develop and manage workflow orchestration solutions to schedule, monitor, and control data movement and transformation processes.
- Translate complex business requirements into robust technical solutions that adhere to data lake and data warehousing standards.
- Utilize enterprise-authorized AI capabilities to accelerate data pipeline design, analysis, and documentation, while ensuring data security and sensitivity compliance.
- Implement reuse-first, AI-assisted practices to enhance the software development lifecycle, including test generation and validation routines, ensuring traceability and auditability.
- Establish and maintain data governance processes related to data modeling, cataloging, ownership, and access controls.
- Provide mentorship and training to team members on best practices for data publication, security, and management.
- Lead the team’s technical direction through standards, code reviews, and knowledge sharing initiatives.
- Stay current with advancements in AWS Data Lake, Snowflake, and related technologies, integrating new tools and practices as appropriate.
- Perform advanced quantitative analysis on large datasets to identify trends and support strategic decision-making.
- Manage data sharing, exchange, and ecosystem-specific features to facilitate seamless data integration across platforms.
Benefits
J.P. Morgan offers a competitive total rewards package that includes a base salary commensurate with experience, skill set, and location. Eligible employees may also receive performance-based bonuses, discretionary incentives, and equity awards recognizing individual contributions. The firm provides comprehensive health care coverage, wellness programs, and access to on-site health centers. Employees benefit from a retirement savings plan, backup childcare services, tuition reimbursement, mental health support, and financial coaching. The company fosters a collaborative and inclusive environment, supporting professional development and work-life balance through various programs and resources. Additional details regarding compensation and benefits will be shared during the hiring process.
Equal Opportunity
J.P. Morgan is an equal opportunity employer committed to diversity and inclusion. The firm does not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, pregnancy, disability, or any other protected attribute under applicable law. The company provides reasonable accommodations for applicants and employees to support their religious practices, mental health, or physical disabilities. We value the diverse talents and perspectives of our workforce and believe that an inclusive environment fosters innovation and excellence. Visit our FAQs for more information about requesting accommodations.