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Principal Data Architect

2 weeks ago

City Of London, United Kingdom Datatonic Full time

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. Partners with us future‑prove 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. 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. 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 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, 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 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 production‑ready solutions that incorporate: Cloud best practices Scalable and efficient ingestion strategies Feature engineering methodologies End‑to‑End Production Readiness Leverage Leading Technologies 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 that include 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: 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: (Auto‑enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%) Life Insurance: (3 × 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 – 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: Full‑Time Experience: years #J-18808-Ljbffr