JOB DESCRIPTION

We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We’re already trusted by millions in the US and we’re quickly catching up in the UK – but how we do things here is a little different. We’re building the bank of the future from scratch, channelling our start-up mentality every step of the way – meaning you’ll have the opportunity to make a real impact.
As a Director of Data Engineering at JPMorgan Chase within the International Consumer Bank you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.
Our Data Engineering team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We’re looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and initiatives – and depending on your strengths and interests, you’ll have the opportunity to move between them.

REQUIRED QUALIFICATIONS, CAPABILITIES, AND SKILLS

• Formal training or certification on Data Engineering concepts and expert applied experience.
• 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
• Experience developing and leading cross-functional teams of technologists
• Experience dealing with internet scale volume, velocity and size of data
• Experience hiring, developing, and recognizing talent
• Experience in Data streaming and messaging frameworks (e.g. Kafka, Spark Structured Streaming)
• Experience in Big Data technologies handling complex data processing requirements
• Experience building data pipelines and platforms on AWS
  

  ICBCareers #ICBEngineering

ABOUT US

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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

• Leads data engineering teams to achieve functional technology objectives
• Makes strategic decisions that influence teams’ resources, budget, tactical operations, and the implementation of processes and procedures
• Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
• Delivers data pipeline and architecture solutions that can be leveraged across multiple businesses
• Influences peer leaders and senior stakeholders across the business, product, and data technology teams
• Champions the firm’s culture of diversity, equity, inclusion, and respect