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For Companies At a Glance
- Tasks: Design and implement cutting-edge data solutions using Google Cloud technologies.
- Company: Join Datatonic, a leading AI partner for Google Cloud, driving innovation.
- Benefits: Enjoy health perks, gym discounts, hybrid work model, and learning opportunities.
- Why this job: Make a real impact in the world of data and AI with a passionate team.
- Qualifications: Proven experience in data architecture, governance, and programming skills.
- Other info: Collaborate with experts and shape the future of data-driven solutions.
The predicted salary is between 43200 - 72000 £ per year.
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.
Your Mission
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.
What You'll Do
- 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, covering:
- Data governance and compliance
- Scalable and efficient data modeling techniques
- Ensuring data quality and integrity
- Data management, security, and privacy best practices
- Establishing optimal workflows and operational efficiencies
- Scalable and efficient ingestion strategies
- Feature engineering methodologies
- End-to-end production readiness
- 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
What You'll Bring
- Data Architecture – Proven experience designing and building data warehouse/lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks.
- Data Modeling – Strong expertise in data modeling and solution architecture, optimizing for performance and scalability.
- Data Governance – Experience with data platforms with data quality, security, privacy, and governance controls built-in.
- Ownership Mindset – Ability to take projects from concept to completion, driving creative and effective solutions.
- Analytical & Technical Excellence – Demonstrated problem-solving skills with a strong technical foundation and an innovative approach.
- Communication & Presentation – Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers.
- Stakeholder Management – Ability to build and maintain strong relationships with key external stakeholders across different business levels.
- Programming Proficiency – Hands-on experience with Python, Java, and SQL for data engineering and solution development.
What's in It for You?
We believe in empowering our team to thrive, with benefits including:
- Health Perks: Private health insurance (Vitality Health) and Smart Health Services.
- Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).
- Hybrid Model: A WFH allowance to keep you comfortable.
- Learning & Growth: Access to platforms like Udemy to fuel your curiosity.
- Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%).
- Income Protection: (up to 75% of base salary, up to 2 years).
- Cycle to Work Scheme.
Why Datatonic?
Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you!
Are you ready to make an impact? Apply now and take your career to the next level.
Location: London, England, United Kingdom
Principal Data Architect (Google Cloud) in London employer: Datatonic
Contact Detail:
Datatonic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Architect (Google Cloud) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Datatonic on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data architecture knowledge. Be ready to discuss your experience with Google Cloud technologies and how you've tackled challenges in past projects. Show us your passion for innovation!
✨Tip Number 3
Don’t just talk about your skills; demonstrate them! If you have a portfolio of projects or case studies, bring them along to showcase your expertise in data solutions and architecture. We love seeing real-world applications!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Datatonic.
We think you need these skills to ace Principal Data Architect (Google Cloud) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Principal Data Architect role. Highlight your experience with Google Cloud technologies and data architecture, as this will show us you’re a perfect fit for what we need.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your expertise in data modelling, governance, and cloud solutions. We want to see how you’ve made an impact before.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant to the role, and make sure your passion for data shines through!
Apply Through Our Website: We encourage you to apply directly through our website. This way, you’ll ensure your application gets to the right people quickly. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Datatonic
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the latest data architecture trends and technologies, especially those related to Google Cloud. Be prepared to discuss your experience with BigQuery, Snowflake, and other relevant tools, as well as how you've applied data modelling techniques like 3NF or Star Schema in real-world scenarios.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical problems or case studies. Think about how you would approach designing a scalable data solution for a client. This is your chance to demonstrate your analytical thinking and technical excellence, so don’t hold back!
✨Communicate Clearly and Confidently
Exceptional communication skills are key for this role. Practice explaining complex concepts in simple terms, as you’ll need to present ideas to clients and stakeholders. Use examples from your past experiences to illustrate your points and show how you can effectively convey information.
✨Prepare Questions for Your Interviewers
Interviews are a two-way street! Prepare insightful questions about the company’s data strategy, team dynamics, and future projects. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals and values.
