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Data Architect

Methods
London, GBR
Full-time
Mid
Onsite
Discovered 1 weeks ago
azureazure-data-factorydatabricksdelta-lakekafkakinesis

Full Job Posting

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
  • Awareness 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. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK – Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview.
  • 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

  • Working at MA
  • Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service.
  • We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process – but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers.
  • We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy.
  • By joining us you can expect
  • Autonomy to develop and grow your skills and experience
  • Be part of exciting project work that is making a difference in society
  • Strong, inspiring, and thought-provoking leadership
  • A supportive and collaborative environment
  • As well as this, we offer:
  • 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

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