Commercial Investment Bank - Lead Data Architect - Associate or Vice President

Job posting for a Lead Data Architect role in London on the Markets Sales CDAO team. The role focuses on defining data products and their attributes, analysing and restructuring existing data products, and ensuring high standards of data quality and accessibility while collaborating with Sales users and technical and analytical teams.

Overview

As a Lead Data Architect on the Markets Sales CDAO team in London, you will be responsible for defining data products and their attributes, analysing and restructuring existing data products, and ensuring high standards of data quality and accessibility while working in a dynamic environment. Your expertise will drive the success of data initiatives, ensuring that data products meet customer needs and enable a variety of high priority analytics initiatives.

Responsibilities

• Collaborate closely with Quant Research and Technology on Sales data products design and strategy, delivering business value with data.
• Automate data quality monitoring and data lineage registration.
• Develop proof-of-concept data product prototypes.
• Translate data consumer requirements into actionable development tasks.
• Manage releases and track development timelines and milestones.
• Prioritize feature requests and drive resolution of data quality issues.
• Prioritize technology data tooling deliveries supporting Markets Sales.
• Help data consumers to use data products effectively.
• Promote reuse of data products.
• Ensure integration of Markets Sales data with other data and analytics platforms in the firm.
• Integrate strategic data management tools into producer and consumer workflows.
• Develop high-quality production code and reviews and debug code written by others.
• Execute creative data architecture solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions and break down technical problems.
• Lead data architecture communities of practice to drive awareness and use of modern data architecture technologies.
• Add to team culture of diversity, equity, inclusion, and respect.

Required Qualifications, Capabilities, And Skills

• Bachelor’s or master’s degree in Computer Science, Engineering, or related field.
• Excellent Python programming skills.
• Solid programming skills in data query languages and experience with relational and NoSQL databases.
• Proven experience as a Data Engineer or similar role.
• Experience with data/technology projects in the Financial Services sector.
• Proficiency in all aspects of the Software Development Life Cycle.
• Ability to build and optimize data sets and 'big data' pipelines.
• Strong communication skills and attention to detail.
• Ability to work collaboratively across multiple teams within the firm.
• Ability to evaluate current and emerging technologies to recommend the best data architecture solutions for the future state architecture.

Preferred Qualifications, Capabilities And Skills

• Understanding of financial markets data and experience with financial data platforms.
• Prior experience with data products design.
• Prior experience with Sell-side analytics platforms (Athena, SecDB, etc.).

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. 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. We do not discriminate on the basis of protected attributes or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices, beliefs, and for mental health or disability needs.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology