Data Architect

  • Engineering & Analytics
  • London, United Kingdom
  • Full-time


    At Datatonic, we provide businesses with cutting-edge data and AI solutions in the cloud.

    We partner with Google Cloud to help clients take cloud technology to the limits. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.

    Our team consists of experts in architecture, machine learning, data science, data engineering, business intelligence, and design. We all share a passion for data, believe in a pragmatic approach to solving hard problems, and believe that with the right team and technology, data has the power to transform any business.

    As a data architect, you will work closely with other colleagues in the business intelligence and engineering team to help design, build new or migrate existing data solutions to Google Cloud for our clients.

    You will:

    • Lead the analysis, design and execution of state-of-the-art data-centric solutions using the best of Google technologies
    • Be an expert in the transformation, storage, retrieval, security and governance of data
    • Direct our analytics engineers to build against your target architecture
    • Understand various data modelling techniques including 3NF, Data Vault, Star Schema, One Big Table (OBT). You should have the ability to express the merits of each approach and their suitability to a client's specific needs. You should understand how to optimise the implementation of such models within a columnar database such as BigQuery
    • Work with our Architecture and Strategy teams to inform data strategy:
      • Data governance;
      • Data modelling;
      • Ensuring data quality and integrity;
      • Data management, security, and privacy;
      • Optimal ways of working;
    • Work with our Architecture, Engineering & Data Science teams to design a fully integrated solution which encompasses:
      • Cloud best practices
      • Ingestion approach
      • Feature engineering approach
      • Production readiness

    Our Key Technology Partners:

    You will design solutions based off our partners technology, of which are key partners are detailed below

    • Google Cloud Platform
    • dbt Labs
    • Snowflake
    • Fivetran


The Basics: 25 days holiday in addition to bank holidays, choice of laptop, pension scheme (3% employer pension, rising by extra 1% per year worked), team bonus payable annually, tech scheme, £100 home equipment allowance

Health & Wellbeing: Private Healthcare, Employee Assistance Program, Cycle-to-Work scheme, Discounted Gym Membership

Learning: Datatonic encourages continuous learning at all levels with a generous conference budget, freedom to explore the latest tools and technologies as well as regular knowledge-sharing activities. You will get access to Linux Academy, Coursera, and LinkedIn Learning and a £700 Conference Budget with 4 days of attendance per year

Career Development: A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression

Impact: The opportunity to work on cutting-edge AI and ML solutions spanning multiple industries and with market-leading organisations

Innovation: Access to Datatonic LABs, our Research & Development hub. Experiment and bring forward ideas, create impactful and meaningful work in a creative and collaborative environment - even just for fun!

Office Environment: A modern office set in the innovation hub of Canary Wharf with complimentary fruit, cookies, tea/coffee throughout the day as well as a shared café and working space with panoramic views of London

Team Vibe & Social: A welcoming and friendly team plus regular monthly social events and team offsites including Tasty Tuesdays (paid lunch) and Thirsty Thursdays (team drinks).

Working for Datatonic

Our UK headquarters is based in a tech-centric environment in the centre of Canary Wharf. We also have offices in Stockholm and Geneva and we work with clients in many other European countries. We allow for flexible working hours and the possibility of remote work.

We’re an eclectic team with lots of different interests and personalities. We have many different roles across data science, engineering, analytics, consulting, marketing, business development, and operations. As a company, we have a strong emphasis on learning and professional development. Our core values are:

Cultivating Excellence

A hub for continuous learning, curiosity, developing ideas, testing things out - and then putting ‘excellence’ into practice.

Owning It

Working collaboratively in cross-functional teams to achieve customer delight. We love what we do and draw immense satisfaction from taking responsibility and seeing the results of our work.

Purposeful Impact

Creating positive change for our customers, using the most relevant machine learning and analytics approaches and the best technologies to meet real business needs.

Winning with Partners & Friends

Our business has been built on great partnerships and open-source collaboration. It’s one thing to be successful, but to do it in partnership with great people and other great companies is even better in our opinion.

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