At a Glance
- Tasks: Design and deliver cutting-edge data platforms and AI solutions in AWS environments.
- Company: Join a dynamic consulting team transforming data across government and regulated sectors.
- Benefits: Competitive salary, bonus, hybrid work model, and comprehensive benefits.
- Other info: Opportunity to mentor and lead teams in a fast-paced environment.
- Why this job: Shape the future of data and AI while influencing key stakeholders.
- Qualifications: Extensive experience in data platforms and strong AWS expertise required.
Data Platform Architect (SC Cleared)
£82,000 - £95,000 + Bonus + Benefits
London | Hybrid (3 days per week onsite)
Permanent
We're looking for a Data Platform Architect to join a growing consulting team delivering large-scale data, analytics and AI transformation programmes across government and other highly regulated environments. This is a role for someone who enjoys operating at the intersection of architecture, engineering and client engagement. You'll be trusted to shape technical strategy, influence senior stakeholders, and lead the design of modern cloud-native platforms that enable organisations to make better use of their data and accelerate AI adoption. You'll work across the full data lifecycle, helping clients modernise legacy estates, implement scalable cloud solutions and develop the foundations needed to support advanced analytics, machine learning and generative AI capabilities.
Responsibilities
- Designing and delivering enterprise-scale data, analytics and AI platforms in AWS environments.
- Defining target-state architectures, technology roadmaps and strategic data capabilities.
- Building cloud-native solutions across data ingestion, transformation, storage, governance, analytics and AI workloads.
- Designing architectures that support both batch and real-time streaming data processing.
- Creating API-first and microservices-based solutions that can scale with business demand.
- Supporting the adoption of Machine Learning, Generative AI, Foundation Models and Agentic AI approaches within enterprise environments.
- Advising clients on data governance, security, compliance and responsible AI practices.
- Working closely with engineers and delivery teams to ensure architecture is translated into practical, scalable solutions.
- Leading technical teams across multiple workstreams and acting as the senior escalation point for architectural challenges.
- Building strong relationships with senior stakeholders and helping shape technology and investment decisions.
- Mentoring architects and engineers, helping to develop capability across the wider team.
- Driving best practice across MLOps, AIOps, CI/CD and modern cloud engineering approaches.
Qualifications
- Extensive experience designing and delivering modern data platforms, analytics solutions and AI architectures.
- Deep expertise in AWS-based data and analytics ecosystems.
- Strong understanding of cloud-native architecture and distributed systems.
- Experience designing solutions across the entire data value chain.
- Proven experience with real-time, streaming and event-driven architectures.
- Experience integrating AI and Machine Learning services into production platforms.
- Strong knowledge of data governance, security, master data management and regulatory requirements.
- Ability to influence senior stakeholders and communicate complex technical concepts to both technical and non-technical audiences.
- Experience leading large multidisciplinary teams delivering complex transformation programmes.
- Active SC Clearance.
Data Platform Architect (Security Cleared) 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 Data Platform Architect (Security Cleared) in London
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We think you need these skills to ace Data Platform Architect (Security Cleared) 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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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!
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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 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.
