Datatonic

<h2>Shape the Future of AI &amp; Data with Us</h2>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.<h2>Your Mission</h2>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 &amp; 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.<h2>What You’ll Do</h2><ul><li>Design &amp; 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.</li><li>Data Architecture &amp; Governance – Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions.</li><li>Guide &amp; Mentor Engineers – Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture.</li><li>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.</li><li>Shape Data Strategy – Collaborate with the client to define and refine data strategy, covering:<ul><li>Data governance and compliance</li><li>Scalable and efficient data modeling techniques</li><li>Ensuring data quality and integrity</li><li>Data management, security, and privacy best practices</li><li>Establishing optimal workflows and operational efficiencies</li></ul></li><li>Develop Fully Integrated Solutions – Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate:<ul><li>Cloud best practices</li><li>Scalable and efficient ingestion strategies</li><li>Feature engineering methodologies</li><li>End-to-end production readiness</li></ul></li><li>Leverage Leading Technologies – Design and implement solutions using key partner technologies, including:<ul><li>Google Cloud – BigQuery, Dataflow, Vertex AI, and more</li><li>dbt Labs – Modern analytics engineering and transformation</li><li>Snowflake – Cloud-native data warehousing</li><li>Fivetran – Automated data pipelines for seamless integration</li></ul></li></ul> <h2>What You’ll Bring</h2><ul><li>Data Architecture – Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks</li><li>Data Modeling – Strong expertise in data modeling and solution architecture, optimizing for performance and scalability</li><li>Data Governance - Experience with data platforms with data quality, security, privacy, and governance controls built-in</li><li>Ownership Mindset – Ability to take projects from concept to completion, driving creative and effective solutions</li><li>Analytical &amp; Technical Excellence – Demonstrated problem-solving skills with a strong technical foundation and an innovative approach</li><li>Communication &amp; Presentation – Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers</li><li>Stakeholder Management – Ability to build and maintain strong relationships with key external stakeholders across different business levels</li><li>Programming Proficiency – Hands-on experience with Python, Java, and SQL for data engineering and solution development</li></ul><h2>Why Datatonic?</h2>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

<h2>Shape the Future of AI &amp; Data with Us</h2>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 Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Data Engineer, your mission is to design and develop scalable, high-performance data pipelines that enable seamless data processing, visualisation, and integration into machine learning models. You'll play a key role in shaping the data engineering foundation of our next-generation AI-driven products, ensuring that data flows efficiently and is readily accessible for advanced analytics.<h2>What You’ll Do</h2><ul><li>Build Scalable Data Pipelines: Design, develop, and optimize robust data pipelines, making data easily accessible for visualization and machine learning applications.</li><li>Leverage Cutting-Edge Technologies: Work with cloud-based platforms and big data processing tools to create scalable and efficient solutions.</li><li>Collaborate with Cross-Functional Teams: Work closely with data scientists, ML engineers, and analysts in an agile environment to deliver impactful data-driven solutions.</li><li>Partner with Industry Leaders: Integrate best-in-class data solutions by working with Google Cloud Platform, dbt, and Looker.</li><li>Manage Cloud Infrastructure: Architect, maintain, and troubleshoot cloud-based infrastructure to ensure high availability and performance.</li><li>Lead and Mentor Team Members: Provide guidance and mentorship to engineers, supporting their professional development and ensuring best practices in data engineering.</li></ul><h2>What You’ll Bring</h2><ul><li>Strong Programming Skills: Expertise in Python and/or Java, with proficiency in SQL.</li><li>Experience in Data Engineering: 5+ years of experience in designing and building scalable data solutions.</li><li>Passion for Data and Analytics: A deep interest in optimizing data workflows and making data-driven decisions.</li><li>Expertise in ETL and Big Data: Hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and data processing frameworks like Beam or Flink.</li><li>High-Quality Code Standards: Ability to write tested, resilient, and well-documented code.</li><li>Cloud Computing Experience: Experience in building and maintaining cloud infrastructure (GCP or AWS is a plus).</li><li>Problem-Solving Mindset: Ability to take ownership and drive projects from concept to completion.</li><li>Strong Communication &amp; Collaboration: Excellent interpersonal skills, with a team-oriented and proactive approach.</li><li>Leadership &amp; Mentorship Skills: Experience in line management and mentoring engineers, helping to grow the team’s technical capabilities.</li></ul><h2>Bonus Points If You Have:</h2><ul><li>Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment</li><li>Command Line &amp; Scripting: Love for the command line and experience with Linux scripting.</li><li>API Development Experience: Experience building scalable REST APIs using Python or similar technologies.</li><li>Machine Learning Knowledge: Knowledge or experience in machine learning, data mining, statistics, and visualization.</li><li>Client-Facing Role: Prior experience in a client-facing position</li><li>Open Source Contributions: Experience contributing to open-source projects.</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul><li>Holiday: 30 days plus bank holidays (obviously!)</li><li>Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)</li><li>Fitness &amp; Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)</li><li>Hybrid Model: 1200 kr WFH Equipment Allowance (after probation)</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: Private Salary Sacrifice Pension available</li></ul><h2>Why Datatonic?</h2>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.

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