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- Tasks: Lead data architecture initiatives and collaborate with teams to enhance data products.
- Company: Dynamic commercial investment bank in London focused on innovation.
- Benefits: Competitive salary, professional development, and a diverse work culture.
- Why this job: Make a significant impact in the financial sector with cutting-edge data solutions.
- Qualifications: Degree in Computer Science or related field; strong Python and data engineering skills.
- Other info: Join a culture of diversity, equity, and inclusion while driving data innovation.
The predicted salary is between 72000 - 108000 £ per year.
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 a 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 review and debug code written by others.
- Execute creative data architecture solutions, design, development, and technical troubleshooting with the 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.).
Commercial Investment Bank - Lead Data Architect - Associate or Vice President employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Investment Bank - Lead Data Architect - Associate or Vice President
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, prototypes, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data architecture. Be ready to discuss how you've tackled data quality issues or collaborated on data products in the past.
✨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 and making an impact.
We think you need these skills to ace Commercial Investment Bank - Lead Data Architect - Associate or Vice President
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Architect role. Highlight your data engineering background, programming skills, and any relevant projects you've worked on in the Financial Services sector.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data architecture and how your experience can drive our data initiatives. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise, especially in Python and data query languages. We want to see how you’ve applied these skills in real-world scenarios, so include examples of your work with relational and NoSQL databases.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at J.P. Morgan
✨Know Your Data Inside Out
Make sure you have a solid understanding of data architecture principles and the specific data products mentioned in the job description. Brush up on your knowledge of relational and NoSQL databases, as well as any relevant financial markets data. This will help you answer technical questions confidently.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various teams, be prepared to discuss your experience collaborating with both technical and non-technical stakeholders. Share examples of how you've successfully communicated complex data concepts to different audiences, highlighting your strong communication skills.
✨Demonstrate Your Problem-Solving Abilities
Think of specific instances where you've tackled challenging data issues or implemented innovative solutions. Be ready to explain your thought process and the impact of your actions. This will show that you can think beyond routine approaches and contribute creatively to the team.
✨Prepare Questions That Matter
Have a few insightful questions ready to ask at the end of the interview. Focus on the company's data initiatives, the tools they use, and how they measure success in their data products. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
