At a Glance
- Tasks: Design and implement cutting-edge data architectures to drive impactful business decisions.
- Company: Join Methods Analytics, a forward-thinking company dedicated to improving society through data.
- Benefits: Enjoy remote work, competitive salary, private medical insurance, and generous annual leave.
- Other info: Collaborative environment with opportunities for professional growth and community engagement.
- Why this job: Make a real difference with your skills while working on exciting projects that matter.
- Qualifications: Deep knowledge of Azure data stack and experience in complex data migration projects required.
The predicted salary is between 72000 - 88000 £ per year.
Methods Analytics (MA) is recruiting for a Data Architect to join our team on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol.
What You'll Be Doing as a Data Architect:
- Advocate the business benefit of data standards, championing and governing those standards across projects and the organisation.
- Demonstrate an overall perspective on business issues and activities, determining patterns, standards, policies, roadmaps and vision statements.
- Make and guide effective decisions, explaining clearly how decisions have been reached and resolving technical disputes across varying levels of complexity and risk.
- Communicate effectively across organisational, technical and political boundaries, making complex technical information accessible for non-technical audiences.
- Design how to expose data from systems (APIs, real-time streams), link data from multiple systems, and deliver modern data services.
- Ensure that risks associated with deployment are adequately understood and documented.
- Design end-to-end data solutions from requirements through implementation, including technical documentation and architecture blueprints.
- Lead complex data migration projects from legacy systems to modern cloud-native platforms.
- Evaluate and recommend appropriate technologies across the modern data stack to meet specific client needs.
- Mentor junior team members and collaborate with data engineers, software engineers, data scientists, and business stakeholders.
Your Impact:
- Enable transformative business decisions through robust, scalable data architectures.
- Drive adoption of modern data platforms and AI-enabled analytics solutions.
- Establish technical standards and architectural patterns that ensure quality, security, and maintainability.
- Help cultivate a data-driven culture within client organisations and internally.
- Deliver architectures that seamlessly integrate traditional and modern data systems.
Requirements You Will Demonstrate:
- Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric).
- Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models.
- Excellent relational database design skills with expertise in diagnosing and optimising performance across SQL Server, PostgreSQL, and cloud databases.
- Proven track record with complex data migration projects (terabyte+ datasets, multiple legacy source systems, structures and unstructured data).
- Proficiency with Parquet/Delta Lake or other modern data storage formats.
- Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing.
- Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines.
- Experience processing and managing unstructured data types (text, images, logs, sensor data).
- Understanding of Lambda and Kappa architectural patterns and when to apply each.
You May Also Have:
- Exposure to high-performing, low latency or large volume data systems.
- Knowledge of and/or experience with Government Digital Service practices across Discovery/Alpha/Beta/Live phases.
- Understanding of vector databases and similarity search for AI applications.
- Experience with Infrastructure as Code and modern DevOps practices.
- Knowledge of how to design and analyse operational logs for data processing, and triage incidents.
- Aware of advances in AI technologies, data services, and architectural practices.
- Industry specialisation in specific sectors (Engineering, Manufacturing, Healthcare etc.).
- Public sector or defence experience.
- Experience with modern unified data platforms like Databricks or Microsoft Fabric.
- Understanding of data mesh or data fabric architectural approaches.
- Relevant industry certifications such as TOGAF 9, CDMP (Certified Data Management Professional), or Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial.
Our Hiring Process: At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review, Initial Phone Screen, Technical Interview, Collaborative Technical Exercise, Final Interview, Offer.
Benefits:
- Annual two-day technical hackathon bringing together all technical teams for innovation and collaboration.
- Monthly Engineering & Architecture Community of Practice event.
- Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection.
- Development access to Pluralsight and LinkedIn Learning.
- Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation.
- Private Medical Insurance which is non-contributory (spouse and dependants included).
- Worldwide Travel Insurance which is non-contributory (spouse and dependants included).
- Discretionary Company Bonus based on company and individual performance.
- Life Assurance of 4 times base salary.
- Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year.
- Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution.
- Wellness 24/7 Confidential employee assistance programme.
- Social - office parties, pizza Friday and commitment to charitable causes.
Data Architect in London employer: Methods Consulting
Methods Analytics (MA) is an exceptional employer that prioritises the growth and well-being of its employees while making a positive impact on society through data-driven solutions. With a collaborative work culture, opportunities for professional development, and a commitment to ethical practices, employees can thrive in an environment that values innovation and creativity. The flexibility of remote work combined with engaging team-building events and comprehensive benefits makes MA a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect 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 Methods Consulting!
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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 Data Architect at Methods Consulting.
✨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 Methods Consulting.
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We think you need these skills to ace Data Architect 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 Methods Consulting, 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 Methods Consulting. 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 Methods Consulting
✨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 Methods Consulting!
✨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.
