At a Glance
- Tasks: Lead and optimise a cloud-based data platform while managing high-performing teams.
- Company: A leading organisation with a focus on innovation and collaboration.
- Benefits: Up to £100,000 salary, performance bonus, hybrid working, and career development.
- Other info: Gain exposure to large-scale projects and ongoing training opportunities.
- Why this job: Drive impactful cloud and data transformation initiatives in a dynamic environment.
- Qualifications: Experience in data platforms, cloud technologies, and strong leadership skills.
The predicted salary is between 54600 - 65000 £ per year.
A leading organisation is seeking an experienced Senior Data Platform Manager to lead the delivery, optimisation and ongoing evolution of its cloud-based data platform ecosystem. This is an excellent opportunity to lead enterprise-scale platform initiatives spanning cloud, data, integration and DevOps technologies while managing high-performing technical teams and engaging with senior business stakeholders.
The Role
- Leading platform delivery, operations and service management
- Driving platform modernisation, automation and scalability initiatives
- Establishing governance, engineering standards and best practices
- Ensuring platform reliability, performance and operational excellence
- Managing critical incidents, risks and technical dependencies
- Leading Agile delivery across multiple workstreams
- Driving monitoring, observability and continuous improvement initiatives
- Providing technical leadership across data, cloud and platform technologies
- Mentoring engineers and technical leads
- Working closely with architecture, engineering and business stakeholders
Key Skills & Experience
- Experience leading Data Platform, Cloud, Integration or Platform Engineering teams
- Strong experience with modern data platform technologies, including Snowflake and/or Kafka
- Experience with Azure, AWS or GCP
- Good knowledge of Kubernetes and containerised platforms
- Experience with CI/CD pipelines, Git-based source control and automation
- Understanding of platform governance, security and operational best practices
- Experience managing enterprise-scale production environments
- Strong stakeholder engagement and leadership skills
- Experience working in Agile environments
What's on Offer?
- Salary up to £100,000
- Performance bonus
- Hybrid working
- Excellent career development opportunities
- Exposure to large-scale cloud and data transformation programmes
- Collaborative and technology-driven environment
- Ongoing training and certification support
Senior Data Platform Manager in London employer: Jefferson Frank
Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Manager in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jefferson Frank!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Platform Manager at Jefferson Frank.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jefferson Frank.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Platform Manager at Jefferson Frank, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Platform Manager 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jefferson Frank, 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 Jefferson Frank. 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 Jefferson Frank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
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!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jefferson Frank!
✨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.
