Principal Google Cloud Architect

• Shape the architecture for key projects.
• Provide pre- and post-sales architectural advice and thought leadership for machine learning, analytics, and data migration projects.
• Help build the architectural side of our next-generation machine learning products.
• Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.
• Oversee the design and implementation of enterprise-scale Data and AI projects.
• Introduce innovative ideas and approaches to enhance our capabilities and methodologies.
• Shape the architecture team and mentor team members while promoting technical excellence.
• Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.
• Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.
• Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.
• Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.
• Contribute to our internal knowledge base, including technical collateral and thought leadership materials.
• Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.
• Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.
• Guide team members, fostering a culture of growth and innovation.

Technologies:

• AI
• AWS
• Redshift
• Architect
• Azure
• Big Data
• BigQuery
• Cloud
• Data Warehouse
• ETL
• Flink
• Hadoop
• Support
• Java
• Looker
• Machine Learning
• Oracle
• Python
• Qlik
• SQL
• Security
• Spark
• Tableau
• Embedded

More:

We are Datatonic, Google Clouds premier partner in AI, helping world-class businesses transform through machine learning, data engineering, and analytics on Google Cloud Platform. We support customers in future-proofing their operations, unlocking actionable insights, and staying ahead in a rapidly evolving world. This is a full-time, on-site role in London within our Technical Delivery department. We offer 25 days holiday plus bank holidays, private health insurance, Smart Health Services, 50% gym membership discounts, a WFH allowance, access to learning platforms such as Udemy, pension auto-enrolment with employer contributions, life insurance, income protection, a Cycle to Work Scheme, and a Tech Scheme. We value innovation, collaboration, and growth, and we are building a team of AI and data experts shaping tomorrow.

• Bachelors or Masters 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.
• Google Cloud or AWS Certified Solutions Architect certification is a plus.
• Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink is a plus.
• Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. is a plus.
• Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik is a plus.
• Familiarity with Agile frameworks, including Scrum, is a plus.
• Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred, is a plus.
• History of contributions to open-source projects, showcasing collaboration and innovation, is a plus.