Senior Cloud Architect

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. As Senior Google Cloud Architect, you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation AI products.

Responsibilities

Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers; Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects; Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies; Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence; Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements; Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance; Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders; Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives; Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials; Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers; Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively; Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation

Requirements

Bachelor’s or Master’s degree in Computer Science or a related technical discipline; Hands-on experience in designing and implementing large-scale big data cloud architectures; Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions; Strong analytical skills with a focus on innovation and technical excellence; Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals; Skills in developing and maintaining relationships with key external stakeholders at various organizational levels; Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals; Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking; Proficiency in working with container technologies and leveraging them effectively in projects; Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code; Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs; Background in Computer Science; Multiple years’ experience with cloud platforms like Google Cloud or AWS

Nice to have

Experience as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms; Google Cloud or AWS Certified Solutions Architect certification; Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink; Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.; Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik; Familiarity with Agile frameworks, including Scrum; Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred; History of contributions to open-source projects, showcasing collaboration and innovation

Benefits

30 days holiday plus bank holidays; 4500 kr per year Healthcare Allowance (paid monthly, after probation); Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice); 1200 kr WFH Equipment Allowance (after probation); Access to platforms like Udemy; Private Salary Sacrifice Pension available