Shape the Future of AI & Data with Us
At Datatonic we are Google Clouds premier partner in 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.
Your Mission
As our first (Canada-based) Google Cloud Architect you will shape the architecture for key projects. Youll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning analytics and data migration addition to that you will be helping us to refine the architectural side of our next-generation machine learning products and helping build the Architecture Practice with standards and best practices.
This is an excellent opportunity for an experienced professional in cloud technologies who 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 customer-facing working closely with business and technical influencers and will require a background in Computer Science.
Successful candidates will bring a few years experience with cloud platforms like Google Cloud or AWS. Ideally youll 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.
What Youll Do
Innovative Technology Work: Utilise cutting-edge scalable cloud and data processing technologies to develop advanced solutions for customers.
Project Delivery: Contribute to the design and implementation of enterprise-scale Data and AI projects.
Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonics capabilities and methodologies.
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 Datatonics 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 to leverage their technologies effectively.
Mentorship and Leadership: Guide team members fostering a culture of growth and innovation.
What Youll Bring
Educational Background: Bachelors or Masters degree in Computer Science or a related technical discipline.
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 organisational 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 in working with container technologies and leveraging them effectively in projects.
Programming Proficiency: Multiple years of experience in programming languages such as Python Java and SQL with a focus on building scalable high-performance code.
Solution Delivery: Demonstrated experience in delivering scalable robust and high-performing solutions to meet business needs.
Certifications: Google Cloud Architect certification.
ETL and Data Pipeline Expertise: Experience with ETL tools and/or batch/streaming data pipelines such as Dataflow Pub/Sub.
Cloud Platform: Experience with Google Cloud technologies such as Cloud Run Cloud Functions Cloud Scheduler Workflow and Cloud Composer
Platform Governance: Experience with Google Cloud Governance technologies such as Cloud Logging Cloud Monitoring IAM Key Management Service and Artifact Registry.
Bonus Points If You Have:
Other Cloud Platforms: Experience/certifications for other cloud platforms such as AWS or Azure.
Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery Azure Synapse Redshift Oracle Teradata etc.
Analytics Tools: Experience creating analytical products using tools such as Looker Tableau Data Studio PowerBI or Qlik.
Agile Methodologies: Familiarity with Agile frameworks including Scrum.
Data Science Knowledge: Basic understanding of topics like machine learning data mining statistics and data visualisation with some practical experience preferred.
Open-Source Contributions: History of contributions to open-source projects showcasing collaboration and innovation.
Whats in It for You
We believe in empowering our team to thrive with benefits including:
20 days of paid vacation per calendar year
Public Holidays for your Province of Residence
5 Wellness days (sickness personal time mental health)
5 Lifestyle days (religious events volunteer day sick day)
Matching Group Retirement Savings Plan after 3 months
Competitive Group Insurance plan on Day 1 - individual premium paid 100%!
Virtual Medicine and Family Assistance Program - 100% employer-paid!
Home office budget - We are 100% remote!
CAD $70/month for internet/phone expenses
CAD $1500 every 3 years for tech accessories and office equipment (monitor keyboard mouse desk etc.) starting on Day 1
Company-supplied MacBook Pro or Air
CAD $400/year for books relevant app subscriptions or an e-reader.
Opportunities for paid certifications
Opportunities for professional and personal learning through Udemy Business
Regular company off-sites and meetups
Why Datatonic
Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely with members distributed across North and South America. This role is open to candidates located anywhere in Canada.
Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic innovation isnt just encouraged - its embedded in everything we do. If youre ready to inspire change and deliver value at the forefront of data and AI wed love to hear from you!
Salary: CAD 150000$ - CAD 180000$
Are you ready to make an impact
Apply now and take your career to the next level.
Required Experience:
Senior IC
Shape the Future of AI & Data with UsAt Datatonic we are Google Clouds premier partner in 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 clien...
Shape the Future of AI & Data with Us
At Datatonic we are Google Clouds premier partner in 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.
Your Mission
As our first (Canada-based) Google Cloud Architect you will shape the architecture for key projects. Youll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning analytics and data migration addition to that you will be helping us to refine the architectural side of our next-generation machine learning products and helping build the Architecture Practice with standards and best practices.
This is an excellent opportunity for an experienced professional in cloud technologies who 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 customer-facing working closely with business and technical influencers and will require a background in Computer Science.
Successful candidates will bring a few years experience with cloud platforms like Google Cloud or AWS. Ideally youll 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.
What Youll Do
Innovative Technology Work: Utilise cutting-edge scalable cloud and data processing technologies to develop advanced solutions for customers.
Project Delivery: Contribute to the design and implementation of enterprise-scale Data and AI projects.
Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonics capabilities and methodologies.
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 Datatonics 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 to leverage their technologies effectively.
Mentorship and Leadership: Guide team members fostering a culture of growth and innovation.
What Youll Bring
Educational Background: Bachelors or Masters degree in Computer Science or a related technical discipline.
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 organisational 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 in working with container technologies and leveraging them effectively in projects.
Programming Proficiency: Multiple years of experience in programming languages such as Python Java and SQL with a focus on building scalable high-performance code.
Solution Delivery: Demonstrated experience in delivering scalable robust and high-performing solutions to meet business needs.
Certifications: Google Cloud Architect certification.
ETL and Data Pipeline Expertise: Experience with ETL tools and/or batch/streaming data pipelines such as Dataflow Pub/Sub.
Cloud Platform: Experience with Google Cloud technologies such as Cloud Run Cloud Functions Cloud Scheduler Workflow and Cloud Composer
Platform Governance: Experience with Google Cloud Governance technologies such as Cloud Logging Cloud Monitoring IAM Key Management Service and Artifact Registry.
Bonus Points If You Have:
Other Cloud Platforms: Experience/certifications for other cloud platforms such as AWS or Azure.
Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery Azure Synapse Redshift Oracle Teradata etc.
Analytics Tools: Experience creating analytical products using tools such as Looker Tableau Data Studio PowerBI or Qlik.
Agile Methodologies: Familiarity with Agile frameworks including Scrum.
Data Science Knowledge: Basic understanding of topics like machine learning data mining statistics and data visualisation with some practical experience preferred.
Open-Source Contributions: History of contributions to open-source projects showcasing collaboration and innovation.
Whats in It for You
We believe in empowering our team to thrive with benefits including:
20 days of paid vacation per calendar year
Public Holidays for your Province of Residence
5 Wellness days (sickness personal time mental health)
5 Lifestyle days (religious events volunteer day sick day)
Matching Group Retirement Savings Plan after 3 months
Competitive Group Insurance plan on Day 1 - individual premium paid 100%!
Virtual Medicine and Family Assistance Program - 100% employer-paid!
Home office budget - We are 100% remote!
CAD $70/month for internet/phone expenses
CAD $1500 every 3 years for tech accessories and office equipment (monitor keyboard mouse desk etc.) starting on Day 1
Company-supplied MacBook Pro or Air
CAD $400/year for books relevant app subscriptions or an e-reader.
Opportunities for paid certifications
Opportunities for professional and personal learning through Udemy Business
Regular company off-sites and meetups
Why Datatonic
Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely with members distributed across North and South America. This role is open to candidates located anywhere in Canada.
Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic innovation isnt just encouraged - its embedded in everything we do. If youre ready to inspire change and deliver value at the forefront of data and AI wed love to hear from you!
Salary: CAD 150000$ - CAD 180000$
Are you ready to make an impact
Apply now and take your career to the next level.
Required Experience:
Senior IC
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