3 Data Architecture jobs in Canada
Senior Data Modeler – Azure & Investment Data Architecture
M4W 1E5 Toronto, Ontario
Recrute Action
Posted 11 days ago
Job Viewed
Job Description
Senior Data Modeler – Azure & Investment Data Architecture Our client is seeking a Data Modeler reporting into the Director, Information Architecture. Located in Toronto, Canada the role will focus on supporting the data strategy for the Investment Data Lake and building out it’s data assets.What is in it for you: • Salaried: $75-85 per hour.• Incorporated Business Rate: $91-101 per hour.• 6-month job assignment• Full-time position: 37.50 hours per week.• Weekday schedule from 9 am to 5 pm.• Hybrid work: in-office Tuesday to Thursday.• Opportunity to work in a dynamic and professional environment.• Join a passionate and inclusive team of professionals.Responsibilities: • Understand and translate business needs into data models supporting long-term solutions.• Closely interact with business partners, stakeholders, functional experts, business analysts, contractors, and developers to understand the system requirements and architect and design the data model and database schema based on the requirements.• Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.• Create logical and physical data models using standard methodologies to ensure high data quality and reduced redundancy.• Optimize and update logical and physical data models to support new and existing projects.• Maintain conceptual, logical and physical data models along with corresponding metadata.• Develop standard methodologies for standard naming conventions and coding practices to ensure consistency of data models.• Communicate effectively with no ambiguity during project execution on data model• Understand and articulate interdependencies, constraints of the data model to Data Engineers, project teams and business teams• Recommend opportunities for reuse of data models in new environments.• Perform reverse engineering of physical data models from databases and SQL scripts.• Evaluate data models and physical databases for variances and discrepancies.• Understanding and experience in OLAP, reporting and analytics principles.• Own the data definitions for all data tables and maintain data lineage• Validate business data objects for accuracy and completeness.• Analyze data-related system integration challenges and propose appropriate solutions.• Develop data models according to company standards.• Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.What you will need to succeed: • Bachelor’s degree in computer science, information systems or related.• Solid experience with business intelligence and data warehousing development technologies, RDBMS, Hadoop and Analytics Environments.• Minimum 5 to 8 years of experience in IT with a minimum of 4+ years in Data Model design.• Expertise with Big data technologies and data bricks as well as BI and data warehousing development technologies.• Strong Data Analysis skills• Strong Data Modeling skills. Take ownership and do data modelling work themselves and do hands on work.• Experience with Azure Solutions and SQL• Expertise with Power Designer/Erwin Data Modeling tool• Familiarity with Capital Markets data• Able to communicate clearly, both verbally and in written form• Good work ethic, results oriented, and accuracy / attention to detail are criticalWhy Recruit Action? Recruit Action (agency permit: AP- ) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted.# MFCJP
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Senior Applied AI Architect, Applied AI & Data Architecture (AIDA)
Toronto, Ontario
Amazon
Posted 2 days ago
Job Viewed
Job Description
Description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
The Role
The Amazon Web Services (AWS) Senior Applied AI Architect partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Applied AI Architects collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services.
As a trusted customer advocate, Applied AI Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for for building, migrating, and scaling generative AI & ML workloads in the cloud. You'll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions.
As a Senior Applied AI Architect, you will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You'll help drive successful business outcomes across a broad set of customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions.
You will design and develop generative AI industry solutions that involves large-scale data processing and modeling. You will have responsibility to help define requirements, create solution designs, implement code to these specifications, and support solutions while deployed and used by our industry customers. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network.
Travel is mostly regional, and is expected to be 15-20%.
Key job responsibilities
- Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
- Interact with customers directly to understand the business problem, help and aid them in implementation of their AI/ML ecosystem
- Educate customers on the value proposition of AWS and showcase the art of possible.
- Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
- Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
- Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
- Capture and share best-practice knowledge amongst the AWS Architect community.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Hands on experience architecting and deploying full stack generative AI workloads to production systems.
Preferred Qualifications
- Experience optimizing production generative AI or Hybrid AI workloads for optimal cost, latency, and/or resilience
- PhD in Computer Science with specialization in Machine Learning, Deep Learning, or Natural Language Processing - or - Masters in Computer Science with strong AI/ML focus
- Knowledge of large scale automation and workflow management or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $126,000/year up to $210,400/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
The Role
The Amazon Web Services (AWS) Senior Applied AI Architect partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Applied AI Architects collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services.
As a trusted customer advocate, Applied AI Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for for building, migrating, and scaling generative AI & ML workloads in the cloud. You'll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions.
As a Senior Applied AI Architect, you will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You'll help drive successful business outcomes across a broad set of customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions.
You will design and develop generative AI industry solutions that involves large-scale data processing and modeling. You will have responsibility to help define requirements, create solution designs, implement code to these specifications, and support solutions while deployed and used by our industry customers. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network.
Travel is mostly regional, and is expected to be 15-20%.
Key job responsibilities
- Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
- Interact with customers directly to understand the business problem, help and aid them in implementation of their AI/ML ecosystem
- Educate customers on the value proposition of AWS and showcase the art of possible.
- Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
- Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
- Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
- Capture and share best-practice knowledge amongst the AWS Architect community.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Hands on experience architecting and deploying full stack generative AI workloads to production systems.
Preferred Qualifications
- Experience optimizing production generative AI or Hybrid AI workloads for optimal cost, latency, and/or resilience
- PhD in Computer Science with specialization in Machine Learning, Deep Learning, or Natural Language Processing - or - Masters in Computer Science with strong AI/ML focus
- Knowledge of large scale automation and workflow management or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $126,000/year up to $210,400/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
This advertiser has chosen not to accept applicants from your region.
1
Senior Applied AI Architect, Applied AI & Data Architecture (AIDA)
Vancouver, British Columbia
Amazon
Posted 2 days ago
Job Viewed
Job Description
Description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
The Role
The Amazon Web Services (AWS) Senior Applied AI Architect partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Applied AI Architects collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services.
As a trusted customer advocate, Applied AI Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for for building, migrating, and scaling generative AI & ML workloads in the cloud. You'll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions.
As a Senior Applied AI Architect, you will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You'll help drive successful business outcomes across a broad set of customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions.
You will design and develop generative AI industry solutions that involves large-scale data processing and modeling. You will have responsibility to help define requirements, create solution designs, implement code to these specifications, and support solutions while deployed and used by our industry customers. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network.
Travel is mostly regional, and is expected to be 15-20%.
Key job responsibilities
- Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
- Interact with customers directly to understand the business problem, help and aid them in implementation of their AI/ML ecosystem
- Educate customers on the value proposition of AWS and showcase the art of possible.
- Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
- Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
- Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
- Capture and share best-practice knowledge amongst the AWS Architect community.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Hands on experience architecting and deploying full stack generative AI workloads to production systems.
Preferred Qualifications
- Experience optimizing production generative AI or Hybrid AI workloads for optimal cost, latency, and/or resilience
- PhD in Computer Science with specialization in Machine Learning, Deep Learning, or Natural Language Processing - or - Masters in Computer Science with strong AI/ML focus
- Knowledge of large scale automation and workflow management or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $126,000/year up to $210,400/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
The Role
The Amazon Web Services (AWS) Senior Applied AI Architect partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Applied AI Architects collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services.
As a trusted customer advocate, Applied AI Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for for building, migrating, and scaling generative AI & ML workloads in the cloud. You'll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions.
As a Senior Applied AI Architect, you will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You'll help drive successful business outcomes across a broad set of customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions.
You will design and develop generative AI industry solutions that involves large-scale data processing and modeling. You will have responsibility to help define requirements, create solution designs, implement code to these specifications, and support solutions while deployed and used by our industry customers. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network.
Travel is mostly regional, and is expected to be 15-20%.
Key job responsibilities
- Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
- Interact with customers directly to understand the business problem, help and aid them in implementation of their AI/ML ecosystem
- Educate customers on the value proposition of AWS and showcase the art of possible.
- Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
- Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
- Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
- Capture and share best-practice knowledge amongst the AWS Architect community.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Hands on experience architecting and deploying full stack generative AI workloads to production systems.
Preferred Qualifications
- Experience optimizing production generative AI or Hybrid AI workloads for optimal cost, latency, and/or resilience
- PhD in Computer Science with specialization in Machine Learning, Deep Learning, or Natural Language Processing - or - Masters in Computer Science with strong AI/ML focus
- Knowledge of large scale automation and workflow management or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $126,000/year up to $210,400/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
This advertiser has chosen not to accept applicants from your region.
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