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- Tasks: Lead data architecture initiatives and collaborate with teams to enhance data products.
- Company: Join J.P. Morgan's Commercial & Investment Bank, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Make a significant impact on data-driven projects in a dynamic environment.
- Qualifications: Strong background in data engineering and excellent Python programming skills.
- Other info: Be part of a culture that values diversity, equity, and inclusion.
The predicted salary is between 43200 - 72000 £ 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.).
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Commercial Investment Bank - Lead Data Architect - Associate or Vice President in London 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 in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data architecture. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those related to data engineering and architecture. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and understanding data query languages. Be ready to discuss your past projects and how you've tackled challenges in data quality and architecture.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our dynamic 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 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 you can contribute to our team. Be specific about your experience with data products and your approach to ensuring data quality and accessibility.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your proficiency in Python, data query languages, and any experience with relational or NoSQL databases. We want to see how you can bring value to our data initiatives.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
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 Python programming. Being able to discuss these topics confidently will show that you're not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various teams, prepare examples of how you've successfully collaborated in the past. Think about times when you’ve worked with technical and analytical teams to deliver data solutions. Highlight your communication skills and how you’ve helped bridge gaps between different stakeholders.
✨Prepare for Technical Questions
Expect to face technical questions related to data engineering and quality assurance. Review common data architecture challenges and be ready to discuss how you would approach them. You might even want to prepare a mini case study or proof-of-concept to demonstrate your problem-solving skills during the interview.
✨Emphasise Innovation and Creativity
This role values innovative thinking, so come prepared with ideas on how to improve existing data products or processes. Think outside the box and be ready to discuss creative solutions you've implemented in previous roles. Showing that you can think beyond conventional approaches will set you apart from other candidates.
