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Principal Data Architect

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Datatonic

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. As a Principal Data Architect, you will play a pivotal role in designing and implementing modern, scalable data solutions for our clients. Working closely with colleagues across the Data & Analytics Engineering teams, you will help architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud. This is an exciting opportunity for a highly-experienced data professional who is passionate about leveraging cloud technologies to drive innovation and efficiency. You will consult with our clients to understand their business needs and objectives, gather requirements, and define and deliver robust, high-performance data architectures. If you thrive in a fast-paced, technology-driven, consulting environment and are eager to make a tangible impact on transformative projects, this role is for you.

Job Responsibility:

  • Design & Deliver Cutting-Edge Data Solutions: Lead the analysis, design, and execution of state-of-the-art, data-driven solutions to meet our client’s business needs, leveraging the best of Google Cloud technologies
  • Data Architecture & Governance: Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions
  • Guide & Mentor Engineers: Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture
  • Master Data Modeling Techniques: Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such as BigQuery
  • Shape Data Strategy: Collaborate with the client to define and refine data strategy
  • Develop Fully Integrated Solutions: Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate cloud best practices, scalable and efficient ingestion strategies, feature engineering methodologies, and end-to-end production readiness
  • Leverage Leading Technologies: Design and implement solutions using key partner technologies, including Google Cloud – BigQuery, Dataflow, Vertex AI, and more
  • dbt Labs – Modern analytics engineering and transformation
  • Snowflake – Cloud-native data warehousing
  • Fivetran – Automated data pipelines for seamless integration

Requirements:

  • Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks
  • Strong expertise in data modeling and solution architecture, optimizing for performance and scalability
  • Experience with data platforms with data quality, security, privacy, and governance controls built-in
  • Ability to take projects from concept to completion, driving creative and effective solutions
  • Demonstrated problem-solving skills with a strong technical foundation and an innovative approach
  • Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers
  • Ability to build and maintain strong relationships with key external stakeholders across different business levels
  • Hands-on experience with Python, Java, and SQL for data engineering and solution development
What we offer:
  • 25 days plus bank holidays
  • Private health insurance (Vitality Health)
  • Smart Health Services
  • 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym)
  • WFH allowance
  • Access to platforms like Udemy
  • Pension (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)
  • Life Insurance (3 x your base salary)
  • Income Protection (up to 75% of base salary, up to 2 years)
  • Cycle to Work Scheme
  • Tech Scheme

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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