At a Glance
- 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.
- Other info: Collaborate with passionate experts and access learning platforms for continuous growth.
- 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.
The predicted salary is between 43200 - 72000 £ per year.
Shape the Future of AI & Data with Us. 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. 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 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 3NF, Data Vault, Star Schema and One Big Table (OBT); clearly articulate the benefits and trade‑offs 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, production‑ready solutions that incorporate cloud best practices, scalable and efficient ingestion strategies, and feature engineering methodologies.
- Leverage Leading Technologies: Design and implement solutions using key partner technologies, including Google Cloud – 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 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?
- 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: Auto‑enrolment after probation; 3% employer contributions raising 1% per year of service to a maximum of 10%.
- Life Insurance: 3 × 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 – 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 employer: Datatonic
Datatonic is an exceptional employer that fosters a vibrant and innovative work culture, perfect for those passionate about cloud technologies and DevOps practices. With a strong emphasis on employee growth, you will have ample opportunities to enhance your skills while working alongside talented teams on cutting-edge projects for prestigious clients. Located in a dynamic scale-up environment, Datatonic offers a unique chance to make a significant impact in the tech landscape while enjoying a collaborative and supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Architect in Harrow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Datatonic folks on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects or any cool solutions you've built. This is your chance to demonstrate your expertise beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly, as communication is key when working with clients and teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Datatonic team.
We think you need these skills to ace Principal Data Architect in Harrow
Some tips for your application 🫡
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 the role of Principal Data Architect!
Showcase Your Projects:Include specific examples of data solutions you've designed or implemented. We love seeing real-world applications of your expertise, especially if they demonstrate your ownership mindset and problem-solving skills.
Communicate Clearly:Your written communication should be top-notch! Make complex concepts easy to understand, as this reflects your ability to present ideas clearly to clients and stakeholders. Remember, attention to detail matters!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Datatonic!
How to prepare for a job interview at Datatonic
✨Know Your Data Architecture Inside Out
As a Principal Data Architect, you’ll need to demonstrate your expertise in data architecture. Brush up on your knowledge of BigQuery, Azure Synapse, and Snowflake. Be ready to discuss specific projects where you've designed scalable solutions and how you tackled challenges in data governance and compliance.
✨Master the Art of Communication
Exceptional communication skills are key for this role. Practice explaining complex data concepts in simple terms. Prepare to present your ideas clearly and confidently, as you'll be consulting with clients and collaborating with various teams. Use examples from your past experiences to illustrate your points.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific instances where you've solved complex data problems. Think about the analytical techniques you used and how you applied your technical knowledge. Highlight your ownership mindset by sharing how you took projects from concept to completion.
✨Familiarise Yourself with Google Cloud Technologies
Since Datatonic is a Google Cloud partner, it’s crucial to understand their technologies like Vertex AI and Dataflow. Research recent developments and be ready to discuss how you would leverage these tools to create innovative data solutions. Showing enthusiasm for cloud technologies will set you apart!
