Senior Lead Data Platforms Engineer β€” Fusion & Global Scale

Senior Lead Data Platforms Engineer β€” Fusion & Global Scale

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Lead a squad to develop secure, scalable data solutions and make key technical decisions.
  • Company: Join J.P. Morgan, a global leader in financial services with a collaborative culture.
  • Benefits: Competitive salary, career advancement opportunities, and a focus on responsible AI practices.
  • Why this job: Make an impact in a dynamic environment while advancing your career towards Executive Director.
  • Qualifications: Proven experience in software engineering and strong leadership skills.

The predicted salary is between 80000 - 100000 Β£ per year.

Morgan is seeking a Senior Lead Software Engineer in Data Platforms to lead a squad focused on the Fusion data catalogue and firmwide data access.

You will own technical decisions, partner with stakeholders, and build secure, scalable solutions across the global organization.

The role emphasizes leadership, enterprise-grade design, and responsible AI practices, with opportunities for advancement toward Executive Director within a large, collaborative team.

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Senior Lead Data Platforms Engineer β€” Fusion & Global Scale employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Lead Data Platforms Engineer β€” Fusion & Global Scale

✨Get Involved in Data Science Meetups

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We think you need these skills to ace Senior Lead Data Platforms Engineer β€” Fusion & Global Scale

Leadership
Technical Decision-Making
Data Catalogue Management
Enterprise-Grade Design
Secure Solutions Development
Scalability
Stakeholder Engagement

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at United States Digital Space LLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at United States Digital Space LLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at United States Digital Space LLC

✨Brush Up on Your Statistics

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.