Description Job summary: 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. You will collaborate with both Sales users and technical and analytical teams. Your expertise will drive the success of our data initiatives, ensuring that data products meet customer needs and enable a variety of high priority analytics initiatives. If you have strong background in data engineering, quality assurance, and a passion for innovation, we invite you to join our team and make a significant impact. Job 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.).