Resiliency Data Products - Data Engineer Vice President

JPMorgan Chase & Co.; City of Westminster; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Resiliency Data Products - Data Engineer Vice President to design and operate production-grade data pipelines for resiliency and recovery risk. You will build data products with lineage, governance, and reliable analytics in a cross-functional setting.

You will translate business and risk requirements into technical designs, collaborate widely, and promote best practices in CI/CD, testing, and data quality across the data lifecycle.

Qualifications

• Degree (or equivalent) in computer science, information systems, data science, or related field.
• Strong SQL expertise and Python programming experience.
• Experience with relational and non-relational databases, data modeling, and data integration.
• Familiarity with data quality, metadata, and governance controls.
• Exposure to cloud-based environments and modern data architectures.

Responsibilities

• Design, build, and run data pipelines that ingest, cleanse, transform, and aggregate data.
• Develop resilient data products with lineage, traceability, and trusted analytics.
• Evolve logical and physical data models representing user flows and risk measures.
• Translate risk requirements into technical designs and delivery plans.
• Collaborate with architects, engineers, and stakeholders to deliver end-to-end outcomes.
• Improve data quality, metadata management, and governance for reliability and auditability.
• Enable data lineage across sources, transformations, and outputs for explainability.

Skills

SQL

Python

Data modeling

Data integration

Cloud environments

Analytical thinking

Education

Degree in computer science / information systems / data science

Tools

PostgreSQL

MySQL

MongoDB

Apache Spark

Hadoop

TOGAF or cloud certifications

Job description

As a Resiliency Data Products - Data Engineer Vice President within Corporate Investment Bank Operational Resiliency, you will design, build, and run data products and pipelines that improve how we understand and manage technology resiliency and recovery risk. You will help us create high-quality, well-governed data with end-to-end lineage so teams can make better decisions with confidence. You will work in a collaborative, cross-functional environment where engineering discipline, controls, and operational outcomes matter.,

• Design, build, and operate production-grade data pipelines that ingest, cleanse, transform, and aggregate data from multiple sources
• Build resilient data products that support lineage, traceability, and trusted analytics for resiliency and recovery risk use cases
• Develop and evolve logical and physical data models that represent user flows, system dependencies, resiliency signals, and risk measures
• Translate business, risk, and control requirements into technical designs and an achievable delivery plan
• Partner with architects, engineers, analysts, and stakeholders across a matrix organization to deliver outcomes end to end
• Implement and continuously improve data quality, metadata management, and governance controls to improve reliability and auditability
• Enable data lineage across sources, transformations, and curated outputs to support explainability and operational decision-making
• Apply modern architecture patterns to support scalable and, where needed, near real-time data requirements
• Use structured and non-relational database technologies to optimize performance and operational stability
• Embed engineering best practices such as version control, automated testing, code review, and continuous integration and delivery
• Produce clear updates on progress, risks, and dependencies and drive timely decisions to keep delivery on track Relevant experience in data engineering, analytics engineering, or data platform engineering across the data lifecycle from collection through modeling and analytics enablement
• Strong proficiency in Structured Query Language (SQL) and hands-on programming experience in Python
• Practical experience with data modeling and data integration processes across multiple systems, including migration and complex data mapping
• Experience working with relational database technologies (for example, PostgreSQL or MySQL), including performance optimization and operational management
• Experience with non-relational database technologies (for example, MongoDB) and associated query patterns
• Familiarity with large-scale data processing and analytics platforms (for example, Apache Spark or Hadoop)
• Experience implementing, or partnering closely on, data quality, metadata, and governance controls to improve reliability and auditability
• Understanding of modern distributed systems patterns (for example, application programming interfaces and event streaming) and cloud-based environments
• Strong analytical and problem-solving skills, with attention to detail and a focus on root-cause thinking
• Strong communication skills and the ability to build partnerships across business and technology stakeholders, Degree (or equivalent practical experience) in computer science, information systems, data science, or a related field
• Experience with scenario generation or modeling approaches that support resiliency and recovery risk analysis
• Exposure to statistical and analytical techniques, including familiarity with data mining methods
• Experience producing clear data architecture artifacts such as target-state diagrams, data flows, lineage views, and conceptual or logical models
• Industry accreditation such as TOGAF or cloud/solution architecture certifications J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.