Applyđź“Ť Canada
🧠Full-Time
🔍 AI & Data
- 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.
- 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.
LeadershipProject ManagementPythonSQLAgileCloud ComputingData AnalysisETLGCPJavaKubernetesMachine LearningSoftware ArchitectureTableauData engineeringREST APICommunication SkillsAnalytical SkillsCollaborationProblem SolvingAgile methodologiesMentoringWritten communicationSales experienceData visualizationStakeholder managementData modeling
Posted about 7 hours ago
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