At a Glance
- Tasks: Design and deliver cutting-edge cloud-native data platforms for AI transformation.
- Company: Join a leading tech consultancy at the forefront of Data & AI innovation.
- Benefits: Competitive salary, bonuses, hybrid work, and professional development opportunities.
- Other info: Exciting career growth in a dynamic environment with innovative projects.
- Why this job: Make a real impact by transforming how organisations leverage data and AI.
- Qualifications: 10+ years in data platforms and cloud architecture; strong consulting skills required.
The predicted salary is between 120000 - 120000 £ per year.
Senior Data Manager90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI?
Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value?This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation.
You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting.
If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss.
What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation.
Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads.
Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, Big Query, Synapse, Redshift and other cloud-native technologies.
Building Proof of Concepts (Po Cs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value.
Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, Dev Ops, CI/CD and cloud automation tools including Terraform, ARM Templates and Cloud Formation.
Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes.
Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design.
Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice.
What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level.
We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment.
Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP.
Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, Big Query, Redshift or similar enterprise data platforms.
Strong knowledge of Infrastructure-as-Code, Dev Ops, CI/CD, networking, security and identity management for modern cloud environments.
Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric.
Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value.
Eligibility for UK Security Clearance (SC).
Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors.
If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, Big Query, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, Cloud Formation, ARM Templates, Dev Ops, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code.
Senior Data Manager in London employer: Deerfoot Recruitment Solutions
Deerfoot Recruitment Solutions Ltd is an exceptional employer, offering a dynamic work environment in the heart of Central London, where you can thrive as an IT Support Analyst. With a strong focus on employee development, you'll benefit from structured training and certifications while working closely with an IT Director who values your growth. The comprehensive benefits package, including private medical insurance and generous leave policies, combined with the opportunity to make a significant impact in a new internal IT support function, makes this a truly rewarding place to advance your career.
Contact Details:
Deerfoot Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Manager in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Deerfoot Recruitment Solutions. 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 Deerfoot Recruitment Solutions
✨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 Deerfoot Recruitment Solutions!
✨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.
