As Cloud Architect at Datatonic 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.

While the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to solve problems, scoping projects, and overseeing the delivery of these engagements.

This is an exceptional chance for seasoned cloud technology professionals who wish to be part of a team of AI and data experts. In this customer-facing role, you will closely collaborate with both business and technical professionals. 

Successful candidates will bring multiple years of experience with cloud platforms like Google Cloud or AWS, along with a demonstrated expertise or strong understanding of machine learning and AI. 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.

If you are transitioning from a role as a data engineer or ML engineer and have a passion for cloud architecture, customer engagement, and technical pre-sales, this position could also be an excellent fit for you.


In the role of Cloud Architect at Datatonic, your responsibilities include:

  • Leveraging cutting-edge and scalable data processing and cloud technologies to drive innovation.
  • Collaborating with our customers to craft state-of-the-art solutions that address their unique needs.
  • Supporting our sales teams by offering technical insights to help design and scope solutions for even the most challenging client requirements.
  • Conducting architecture reviews for our key clients, identifying opportunities for improvement, and sharing recommendations with senior client stakeholders.
  • Contributing to our internal knowledge base, aiding in the development of valuable collateral and thought leadership.
  • Thriving in an agile and dynamic environment, working alongside a tight-knit team of data scientists, machine learning experts, data analysts, and data engineers.
  • Serving as a leader and mentor to other team members, fostering professional growth.
  • Collaborating closely with our technology partners, including Google Cloud, dbt Labs, and Looker.
  • Playing a pivotal role in shaping the architecture team at Datatonic, driving innovation and excellence.


Qualifications and requirements::

  • Hold a BSc or MSc degree in Computer Science or a related technical field.
  • Demonstrate a proven track record in designing and building robust big data cloud architectures.
  • Possess the capability to take ownership of end-to-end projects, showcasing your problem-solving skills and creativity.
  • Demonstrate strong analytical and technical competencies, coupled with an innovative mindset.
  • Display exceptional written and verbal communication skills with great attention to detail.
  • Demonstrate a solid understanding, and ideally hands-on experience, in data science areas, including machine learning, data mining, statistics, data visualization, and AI. 
  • Have the ability to present concepts in an authoritative and clear manner to customers through white-boarding, presentations, and proposals
  • Cultivate and nurture relationships with key external stakeholders at various business levels.
  • Bring experience in technical pre-sales, with the ability to advocate for groundbreaking proposals.
  • Showcase expertise in cloud technologies and their multifaceted application, encompassing areas such as data, security, and networking.
  • Possess knowledge and hands-on experience with container technologies.
  • Boast programming skills, preferably in Python, Java, and SQL.
  • Demonstrate a track record of building scalable and high-performing code.


Additional qualifications and skills that stand out:

  • Google Cloud Professional Cloud Architect or Professional Cloud Developer certification
  • Hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink).
  • Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies such as BigQuery, Azure Synapse, Redshift, Oracle, Teradata, and more.
  • Demonstrated proficiency in designing and building analytical products using tools like Looker, Tableau, PowerBI, Qlik, and similar platforms.
  • Familiarity with Agile methodologies, particularly Scrum, to support dynamic project management.
  • Valuable contributions to open-source projects, reflecting your commitment to the broader tech community.

Datatonic is an equal-opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, colour, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. Our current team is made up of folks from very different backgrounds, including a former librarian, oceanographer and comic bookstore owner! If you are on the fence about whether you meet our requirements, we encourage you to apply anyway. Please reach out to us directly at if you need assistance or accommodation due to disability.


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