Resiliency Data Products - Data Engineer Vice President
JPMorgan Chase24 days ago
London, United KingdomStaff+
Responsibilities
- Design, build, and operate production-grade pipelines that ingest, cleanse, transform, and aggregate data from multiple sources.
- Build resilient, governed data products with lineage and traceability for analytics, scenario generation, and recovery-risk decisions.
- Develop logical and physical data models for user flows, system dependencies, resiliency signals, and risk measures.
- Translate business, risk, and control requirements into technical designs and delivery plans.
- Partner with architects, engineers, analysts, cybersecurity, controls, and business stakeholders to deliver outcomes end to end.
- Implement and improve data quality, metadata management, governance, lineage, reliability, and auditability controls.
- Apply scalable and, where needed, near-real-time architecture patterns using structured and non-relational databases.
- Use engineering practices including version control, automated testing, code review, and continuous integration and delivery.
- Communicate progress, risks, and dependencies and drive timely delivery decisions.
Requirements
- Experience in data engineering, analytics engineering, or data platform engineering across collection, modeling, and analytics enablement.
- Strong SQL proficiency and hands-on Python programming experience.
- Experience with data modeling, data integration, migrations, and complex data mapping across multiple systems.
- Experience with relational databases such as PostgreSQL or MySQL, including performance optimization and operational management.
- Experience with non-relational databases such as MongoDB and associated query patterns.
- Familiarity with large-scale data-processing and analytics platforms such as Apache Spark or Hadoop.
- Experience implementing or partnering on data quality, metadata, and governance controls.
- Understanding of distributed-systems patterns such as application programming interfaces and event streaming, plus cloud-based environments.
- Strong analytical, problem-solving, communication, and cross-functional partnership skills.
- Preferred: a degree or equivalent practical experience in computer science, information systems, data science, or a related field.
- Preferred: experience with resiliency or recovery-risk scenario generation, statistical and data-mining techniques, data architecture artifacts, and TOGAF or cloud/solution architecture certifications.
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.