AI Architect; Cloud GCP

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in cloud & 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.

As a 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 machine learning products.

This is an excellent opportunity for an experienced professional in cloud technologieswho would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is client facing, working closely with business and technical influencers, and will require a technical background but the ability to turn the technical, into something digestible for clients.

Successful candidates will bring multiple years’ experience with cloud platforms, preferably with Google Cloud. Ideally, you'll have served 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.

• 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.

• Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.

• End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.

• Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.

• Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.

• Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.

• Pre-Sales
  
  Experience:
  
  Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.

• Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.

• Container Technology
  
  Experience:
  
  Proficiency…