Google Cloud Architect

View full description

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 organisational 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 Architect certification.
• Experience with ETL tools and/or batch/streaming data pipelines such as Dataflow, Pub/Sub.
• Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow and Cloud Composer
• Experience with Google Cloud Governance technologies such as Cloud Logging, Cloud Monitoring, IAM, Key Management Service and Artifact Registry.

Responsibilities:

• Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.
• Contribute to the design and implementation of enterprise-scale Data and AI projects.
• Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.
• 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 Datatonic’s 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.