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- Tasks: Design and implement cutting-edge data solutions using Google Cloud technologies.
- Company: Join Datatonic, a leading AI and data transformation partner for top businesses.
- Benefits: Enjoy 25 days holiday, private health insurance, gym discounts, and a hybrid work model.
- Why this job: Shape the future of AI and data while driving innovation and efficiency.
- Qualifications: Proven experience in data architecture and strong programming skills in Python, Java, and SQL.
- Other info: Collaborate with passionate experts and access learning platforms for continuous growth.
The predicted salary is between 54000 - 84000 ÂŁ per year.
Shape the Future of AI & Data with Us. At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for worldâclass businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients futureâproof 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. You will partner with colleagues across the Data & Analytics Engineering teams to architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud. This is an exciting opportunity for a highlyâexperienced 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, highâperformance data architectures.
What You'll Do:
- Design & Deliver CuttingâEdge Data Solutions: Lead the analysis, design, and execution of stateâofâtheâart dataâdriven 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, highâperformance solutions aligned with your target data architecture.
- Master Data Modeling Techniques: Apply expertise in 3NF, Data Vault, Star Schema and One Big Table (OBT); clearly articulate the benefits and tradeâoffs of each method and optimize their implementation in 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, and establishing optimal workflows and operational efficiencies.
- Develop Fully Integrated Solutions: Work alongside Architecture, Engineering and Data Science teams to design comprehensive, productionâready solutions that incorporate cloud best practices, scalable and efficient ingestion strategies, feature engineering methodologies, and endâtoâend production readiness.
- Leverage Leading Technologies: Design and implement solutions using key partner technologies, including Google Cloud â BigQuery, Dataflow Vertex AI, dbt Labs, Snowflake, and Fivetran.
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 builtâin.
- Ownership Mindset: Ability to take projects from concept to completion, driving creative and effective solutions.
- Analytical & Technical Excellence: Demonstrated problemâsolving 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: Handsâon experience with Python, Java and SQL for data engineering and solution development.
What's in It for You?
- Holiday: 25 days plus bank holidays.
- 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: Autoâenrolment after probation; 3% employer contributions raising 1% per year of service to a maximum of 10%.
- Life Insurance: 3 Ă your base salary.
- Income Protection: up to 75% of base salary for up to 2 years.
- Cycle to Work Scheme.
- Tech Scheme.
Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged â 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.
Principal Data Architect in Harrow on the Hill employer: Datatonic
Contact Detail:
Datatonic Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Principal Data Architect in Harrow on the Hill
â¨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space, especially those who work at Datatonic or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data architecture projects. Use platforms like GitHub to share your code and solutions. This not only demonstrates your expertise but also gives potential employers a taste of what you can do.
â¨Tip Number 3
Prepare for the interview by brushing up on your knowledge of Google Cloud technologies and data governance. Be ready to discuss how you've tackled challenges in past projects and how you can apply that experience to help Datatonic's clients.
â¨Tip Number 4
Donât forget to apply through our website! Itâs 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 in Harrow on the Hill
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data architecture and Google Cloud technologies. We want to see how your skills align with our mission at Datatonic!
Showcase Your Projects: Include specific examples of data solutions you've designed or implemented. We love seeing real-world applications of your expertise, so donât hold back on the details!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain complex concepts, as we value communication skills just as much as technical prowess.
Apply Through Our Website: We encourage you to submit your application directly through our website. Itâs the best way for us to receive your details and ensures youâre considered for this exciting opportunity!
How to prepare for a job interview at Datatonic
â¨Know Your Data Architecture Inside Out
Make sure youâre 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 data modelling techniques like 3NF and Star Schema. This will show that you can hit the ground running.
â¨Showcase Your Problem-Solving Skills
During the interview, be ready to share specific examples of how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical and technical excellence.
â¨Communicate Clearly and Confidently
Since you'll need to present complex concepts to clients, practice explaining your previous projects in simple terms. This will demonstrate your exceptional communication skills and ability to engage with stakeholders at all levels.
â¨Demonstrate Your Ownership Mindset
Be prepared to discuss how you've taken projects from concept to completion. Share stories that illustrate your proactive approach and how youâve driven creative solutions, as this aligns perfectly with what theyâre looking for in a Principal Data Architect.
