At a Glance
- Tasks: Lead data solutioning and design for the Alpha Data Platform.
- Company: Join State Street Corporation, a leader in financial services.
- Benefits: Attractive salary, flexible working options, and career advancement opportunities.
- Other info: Dynamic role with opportunities to work with cutting-edge technologies.
- Why this job: Shape the future of data services and make a significant impact.
- Qualifications: Experience in data architecture and strong collaboration skills.
The predicted salary is between 72000 - 88000 £ per year.
STATE STREET CORPORATION is seeking a Senior Data Solutions Architect for the EMEA region to lead end-to-end data solutioning across the Alpha Data Platform. You will engage in pre-sales due diligence, client presentations, and the design of the future state operating model for data services. You will collaborate with internal teams and external vendors to deliver integrated data solutions, leverage architectures for complex data models, and drive improvements in data governance.
Senior Data Solutions Architect - F2B Platform Lead in London employer: State Street Corporation
State Street is an exceptional employer that prioritises the growth and well-being of its employees, offering a dynamic work culture where innovation thrives. With a commitment to inclusivity, flexible work-life support, and opportunities for professional development, employees are empowered to reach their full potential while contributing to meaningful projects in the financial sector. Located in a vibrant environment, State Street fosters collaboration and creativity, making it an ideal place for those looking to make a significant impact in the world of finance and technology.
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We think this is how you could land Senior Data Solutions Architect - F2B Platform Lead in London
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We think you need these skills to ace Senior Data Solutions Architect - F2B Platform Lead in London
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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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.
