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- Tasks: Lead data architecture initiatives and collaborate with teams to enhance data products.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Make an impact in the financial sector with innovative data solutions.
- Qualifications: Degree in Computer Science or related field; strong Python and data skills required.
- Other info: Dynamic work environment with a focus on diversity and inclusion.
The predicted salary is between 60000 - 84000 £ per year.
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.
As a Lead Data Architect on the Markets Sales CDAO team in London, you will be responsible for:
- Collaborating closely with Quant Research and Technology on Sales data products design and strategy, delivering business value with data.
- Automating data quality monitoring and data lineage registration.
- Developing proof-of-concept data product prototypes.
- Translating data consumer requirements into actionable development tasks.
- Managing releases and tracking development timelines and milestones.
- Prioritising feature requests and driving resolution of data quality issues.
- Prioritising technology data tooling deliveries supporting Markets Sales.
- Helping data consumers to use data products effectively.
- Promoting reuse of data products.
- Ensuring integration of Markets Sales data with other data and analytics platforms in the firm.
- Integrating strategic data management tools into producer and consumer workflows.
- Developing high-quality production code and reviewing and debugging code written by others.
- Executing creative data architecture solutions, design, development, and technical troubleshooting.
- Leading data architecture communities of practice to drive awareness and use of modern data architecture technologies.
- Adding 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 recognise 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
Commercial Investment Bank - Lead Data Architect - Associate or Vice President in London employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Investment Bank - Lead Data Architect - Associate or Vice President in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at J.P. Morgan or similar firms. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially any proof-of-concept prototypes you've developed. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the technical interview by brushing up on Python and data query languages. Practice coding challenges and be ready to discuss your past projects in detail, focusing on how you tackled data quality issues and collaborated with teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Commercial Investment Bank - Lead Data Architect - Associate or Vice President in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Architect role. Highlight your experience with data products, programming skills, and any relevant projects in the Financial Services sector. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our Markets Sales CDAO team. Be sure to mention specific skills or experiences that relate directly to the job description.
Showcase Your Technical Skills: Since this role requires solid programming skills, make sure to highlight your proficiency in Python and any experience with data query languages. If you've worked on big data pipelines or data quality monitoring, let us know – we love seeing those details!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to submit all your documents in one go. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Inside Out
Make sure you have a solid understanding of data products and their attributes. Brush up on your knowledge of relational and NoSQL databases, as well as Python programming. Being able to discuss specific examples of how you've analysed or restructured data products will show your expertise.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so be prepared to discuss your experience in collaborative environments. Think of examples where you've successfully partnered with technical and analytical teams to deliver business value through data.
✨Demonstrate Problem-Solving Abilities
Be ready to talk about how you've tackled complex data architecture challenges in the past. Highlight any creative solutions you've implemented and how they improved data quality or accessibility. This will showcase your ability to think beyond conventional approaches.
✨Prepare for Technical Questions
Expect to face technical questions related to data architecture and software development life cycles. Brush up on your knowledge of big data pipelines and data tooling deliveries. Practising coding problems or discussing your previous projects can help you feel more confident during this part of the interview.
