At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.
As a Data Domain Architect within the International Consumer Bank (ICB), you will play a pivotal role in advancing the integration of Chase and JPMorgan Personal Investing data platforms to support business growth and scalability. You will contribute to the design and delivery of high-performing, scalable data products and datasets within a medallion-architected data lakehouse environment. These solutions will power analytics, reporting, operational processes, data science initiatives, and regulatory use cases across the organization.
Working within a global, cross-functional team of engineers, analysts, and product managers, you will help define data architecture standards, translate business requirements into technical solutions, and ensure the quality, performance, and governance of critical data assets.
Job Responsibilities
- Partner with business stakeholders, analysts, and platform users to understand data requirements, business objectives, and functional needs.
- Design scalable, reliable, and performant data architectures and domain models that support enterprise data products and analytical workloads.
- Collaborate with data engineering teams to develop and enhance data pipelines, datasets, and lakehouse solutions aligned with architectural standards and best practices.
- Validate and test data models, transformations, and enhancements to ensure accuracy, quality, and alignment with business requirements.
- Establish and maintain technical documentation, data definitions, lineage information, and user-facing documentation supporting platform capabilities.
- Implement and manage data quality controls, validation frameworks, reconciliations, and operational runbooks to ensure data integrity and platform reliability.
- Drive continuous improvement and innovation by identifying opportunities to optimize data structures, processes, and platform performance.
- Support Agile delivery practices and contribute to the successful execution of strategic data initiatives across global teams.
Required Qualifications, Capabilities, and Skills
- Minimum 3 years of experience in Data Analytics, Data Engineering, Data Architecture, Business Analysis, or a related discipline.
- Demonstrated experience working with SQL, ETL processes, data warehousing concepts, and large-scale data platforms.
- Strong understanding of data modeling, data lifecycle management, and analytical data structures.
- Ability to translate complex business problems into scalable technical solutions and actionable requirements.
- Experience collaborating effectively within Agile and cross-functional teams while managing responsibilities independently.
- Strong written and verbal communication skills with the ability to engage stakeholders across varying levels of technical expertise.
- Proven analytical, problem-solving, and decision-making skills.
- Self-motivated with the ability to manage priorities and deliver results in a fast-paced environment.
- Passion for driving innovation, operational excellence, and adoption of data best practices.
Preferred Qualifications, Capabilities, and Skills
- Experience within Financial Services, Wealth Management, Investment Management, Brokerage, or Consumer Banking environments.
- Knowledge of modern cloud-based data platforms, lakehouse architectures, and enterprise data ecosystems.
- Familiarity with data governance, regulatory reporting, and data quality management frameworks.
- Experience supporting analytical use cases including business intelligence, data science, operational reporting, and commercial analytics.
- Bachelor's degree in Computer Science, Information Systems, Business Analytics, Engineering, or a related field.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
Skills Required
- Minimum 3 years of experience in data analytics, data engineering, data architecture, business analysis, or a related discipline
- Experience with SQL, ETL processes, data warehousing concepts, and large-scale data platforms
- Strong understanding of data modeling, data lifecycle management, and analytical data structures
- Ability to translate complex business problems into scalable technical solutions and actionable requirements
- Experience collaborating within Agile and cross-functional teams while managing responsibilities independently
- Strong written and verbal communication skills
- Analytical, problem-solving, and decision-making skills
- Experience in financial services, wealth management, investment management, brokerage, or consumer banking
- Knowledge of modern cloud-based data platforms, lakehouse architectures, and enterprise data ecosystems
- Familiarity with data governance, regulatory reporting, and data quality management frameworks
- Experience supporting business intelligence, data science, operational reporting, and commercial analytics use cases
- Bachelor's degree in computer science, information systems, business analytics, engineering, or a related field
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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