Google Cloud Architect

Summary

Join Datatonic, Google Cloud's premier AI partner, as a Google Cloud Architect. Shape the architecture for key projects, providing pre- and post-sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. You will also contribute to building the architecture of next-generation machine learning products. This customer-facing role requires collaboration with business and technical stakeholders and a background in Computer Science. The ideal candidate possesses several years of experience with cloud platforms and a proven ability to design and migrate applications to the cloud. This is an excellent opportunity to work with a team of AI and data experts.

Requirements

• Have a Bachelor’s or Master’s degree in Computer Science or a related technical discipline
• Have hands-on experience in designing and implementing large-scale big data cloud architectures
• Demonstrate the ability to manage projects from conception to completion, employing creative and practical solutions
• Possess strong analytical skills with a focus on innovation and technical excellence
• Have exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals
• Possess skills in developing and maintaining relationships with key external stakeholders at various organisational levels
• Have extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals
• Have comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking
• Have proficiency in working with container technologies and leveraging them effectively in projects
• Have multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code
• Demonstrate experience in delivering scalable, robust, and high-performing solutions to meet business needs
• Have Google Cloud Architect certification
• Have experience with ETL tools and/or batch/streaming data pipelines such as Dataflow, Pub/Sub
• Have experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow and Cloud Composer
• Have 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

Preferred Qualifications

• Have experience/certifications for other cloud platforms such as AWS or Azure
• Have a proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc
• Have experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik
• Have familiarity with Agile frameworks, including Scrum
• Have a basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred
• Have a history of contributions to open-source projects, showcasing collaboration and innovation

Benefits

• 20 days paid vacation + 5 additional paid leave days during the company holiday closure
• 5 days for personal time, sickness, or other needs
• Group Retirement Savings Plan with matching contributions
• Comprehensive group insurance (extended health & dental) with 100% individual premium paid by the employer
• 100% employer-paid telemedicine services
• Home office budget provided for our fully remote work environment
• CAD $70/month (paid quarterly) for internet and phone costs
• CAD $1,500 every 3 years for office equipment (monitor, keyboard, mouse, desk, etc.) starting from Day 1
• Company-supplied MacBook Pro
• CAD $400/year for books or a reading device
• Opportunities for paid certifications
• Full access to Udemy Business for both professional and personal development
• Regular company off-sites and meetups