At a Glance
- Tasks: Lead and optimise a cloud-based data platform while managing high-performing teams.
- Company: A leading organisation with a collaborative and technology-driven culture.
- Benefits: Up to £100,000 salary, performance bonus, hybrid working, and excellent career development.
- Other info: Ongoing training and certification support for continuous growth.
- 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 53820 - 65780 £ per year.
Senior Data Platform Manager - London (Hybrid) - Up to £100,000
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 Dev Ops 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?
- 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
- #J-18808-Ljbffr
Senior Data Platform Manager employer: Cyber Security training courses
As an AI Engineer at our Central London office, you will be part of a dynamic team dedicated to pioneering cutting-edge AI solutions that drive business growth and enhance engineering capabilities. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional development, offering competitive salaries, performance bonuses, and the flexibility of a hybrid working model to ensure a healthy work-life balance.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Manager
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We think you need these skills to ace Senior Data Platform Manager
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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How to prepare for a job interview at Cyber Security training courses
✨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!
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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!
✨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 Cyber Security training courses!
✨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.
