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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 learning opportunities.
- Why this job: Make a real impact in the fast-paced world of AI and data innovation.
- Qualifications: Proven experience in data architecture and strong programming skills in Python, Java, and SQL.
- Other info: Collaborate with passionate experts and shape the future of data and AI.
The predicted salary is between 72000 - 108000 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. Partners with us futureâprove 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 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. If you thrive in a fastâpaced, technologyâdriven consulting environment and are eager to make a tangible impact on transformative projects this role is for you.
What You'll Do:
- Design & Deliver CuttingâEdge Data Solutions: Lead the analysis, design and execution of stateâofâtheâart dataâdriven solutions to meet our clients' 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 various dataâmodeling approaches including 3NF, Data Vault, Star Schema and One Big Table (OBT). Clearly articulate the benefits and tradeâoffs of each method and optimise their implementation within columnar databases such as BigQuery.
- Shape Data Strategy: Data governance and compliance, scalable and efficient data modelling techniques, ensuring data quality and integrity, data management, security and privacy best practices, 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, endâtoâend production readiness.
- Leverage Leading Technologies: Google Cloud BigQuery, Dataflow, Vertex AI and more, dbt Labs â modern analytics engineering and transformation, Snowflake â cloudânative data warehousing, Fivetran â 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 that include 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: We believe in empowering our team to thrive with benefits including: Holiday: 25 days plus bank holidays (obviously!), 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 period. 3% employer contributions raising 1% per year of service to a max of 10%), Life Insurance: (3 Ă your base salary!), Income Protection: up to 75% of base salary 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.
Key Skills: Kubernetes, S3, Google Cloud Platform, Cassandra, System Architecture, Redshift, AWS, Cloud Architecture, NoSQL, UML, Kafka, Distributed Systems.
Employment Type: FullâTime
Experience: years
Principal Data Architect in London employer: Datatonic
Contact Detail:
Datatonic Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Principal Data Architect in London
â¨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those using Google Cloud technologies. This will give potential employers a clear view of what you can bring to the table.
â¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in consulting roles like the Principal Data Architect position.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Datatonic.
We think you need these skills to ace Principal Data Architect in London
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 the role, so donât hold back on showcasing your relevant projects!
Showcase Your Communication Skills: Since this role involves consulting with clients, itâs crucial to demonstrate your exceptional written communication skills. Use clear and concise language in your application to reflect your ability to present complex concepts simply.
Highlight Your Ownership Mindset: We love candidates who take initiative! In your application, share examples of projects where youâve taken ownership from concept to completion. This will show us that youâre ready to drive creative solutions in a fast-paced environment.
Apply Through Our Website: Donât forget to submit your application through our website! Itâs the best way for us to receive your details and ensures youâre considered for the role. Plus, it makes the whole process smoother for everyone involved.
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 data warehouse solutions like BigQuery and Snowflake, and how you've applied data modelling techniques in real-world scenarios.
â¨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies that demonstrate your analytical and technical excellence. Think about how you can articulate your thought process clearly, showcasing your ability to drive creative solutions from concept to completion.
â¨Communicate Like a Pro
Exceptional communication is key for this role. Practice explaining complex data concepts in simple terms, as youâll need to present ideas to clients and stakeholders. Highlight any past experiences where you successfully managed stakeholder relationships or led discussions on data governance.
â¨Prepare Questions That Matter
Interviews are a two-way street! Prepare insightful questions about the companyâs data strategy, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.
