Sr. Lead Software Engineer: Data Engineering
JPMorgan Chase1 month ago
Responsibilities
- Recommend and provide insight on data management and governance procedures for data acquisition, maintenance, validation, and utilization.
- Design and deliver secure, stable, and scalable data collection, storage, access, analytics, and platform solutions.
- Define database backup, recovery, and archiving strategies.
- Generate advanced data models using firmwide approaches, linear algebra, statistical algorithms, and geometrical algorithms.
- Approve data analysis tools and processes and create functional and technical documentation.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices, including code review, refactoring, testing, incident analysis, and validation automation.
- Evaluate access-control processes and support traceable, auditable, resilient, and secure delivery practices.
- Provide technical leadership through architecture decisions, mentoring, cross-team influence, and operational support for streaming systems.
Requirements
- Formal training or certification in data engineering concepts, architecture, and production ownership, plus 5+ years of applied experience.
- Hands-on experience with system design, application development, testing, and operational stability.
- Strong Python skills and deep experience with Databricks and Spark.
- Experience with relational and NoSQL databases.
- Experience using and validating enterprise-authorized AI capabilities in data engineering workflows while following data sensitivity and handling requirements.
- Experience leading approved AI-assisted software development practices and setting expectations for validating correctness, performance, and security.
- Strong understanding of responsible AI use, secure handling of inputs and outputs, resiliency, security, and coaching engineers on compliant adoption.
- Strong experience with AWS and modern lakehouse and data platform patterns.
- Proven technical leadership through architecture decisions, mentoring, and cross-team influence.
- Preferred AWS and/or Databricks certification.
- Preferred experience with streaming architectures, event-driven ingestion, near-real-time processing, monitoring, alerting, and recovery.
Benefits
- Competitive total rewards and benefits package, with base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash or forfeitable equity.
- Benefits may include comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
Tech Stack
Categories
Data Engineering
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.