About This Role

Senior Data Architect

Position: Senior Data Architect

Location: Montreal, CA

Company: CAE Inc.

We are seeking a Senior Data Architect. The candidate must be an accomplished and forward-thinking professional to lead the evolution of our data architecture. We need a visionary data architect to shape the future of our data ecosystem in a domain-driven approach. As a Data Architect, you will play a critical role in designing and implementing scalable, robust, and efficient data models and solutions leveraging the Azure stack, Databricks, Kubernetes, containers, and architectural design. You will collaborate closely with cross-functional teams, including data engineers, data scientists, data platform architects and software developers, to ensure the successful delivery of data-driven projects.

Responsibilities:

1. Technological Leadership:

• Spearhead the development of modern data design and modeling strategies, employing a rich toolkit including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
• Lead the architectural vision, ensuring alignment with industry best practices and future scalability.

2. Innovative Data Design:

• Drive the modernization of data design and modeling, leveraging tools like ER/Studio, Erwin, and Lucidchart to visualize and optimize data structures.
• Collaborate cross-functionally to implement innovative, agile, and scalable data solutions.

3. Key Technologies Integration:

• Harness the power of Azure services such as Azure Machine Learning, Azure Cognitive Services, and Azure Data Lake Storage to design and implement advanced data solutions.
• Seamlessly integrate OpenAI technologies for natural language processing, ensuring our architecture stays at the forefront of innovation.

4. Programming Languages Proficiency:

• Utilize your proficiency in programming languages such as Python and SQL to develop and optimize data pipelines, ensuring efficiency and performance.

5. Data Governance and Compliance Mastery:

• Establish and enforce robust data governance policies to ensure compliance with industry regulations.
• Implement metadata management strategies for effective data lineage and quality tracking.

6. Collaboration and Communication:

• Collaborate with stakeholders, employing collaboration tools like Microsoft Teams and Slack to facilitate communication and ensure alignment with business objectives.
• Communicate complex data concepts and architectural decisions effectively using visualization tools like Tableau or Power BI.

7. Mentorship and Team Collaboration:

• Mentor a team of data architects and engineers, fostering a culture of continuous learning and collaboration.
• Implement version control systems like Git for collaborative development and ensure best practices in code reviews.

8. Data Governance and Security Mastery:

• Define and enforce data governance policies, ensuring compliance and integrity in an AI-centric environment.
• Implement robust security measures to safeguard sensitive data and uphold privacy standards.

9. Optimized Performance:

• Optimize data storage, processing, and retrieval, utilizing Azure and Databricks for maximum efficiency.
• Conduct performance tuning and monitoring, addressing bottlenecks in the design and architecture.

10. Collaboration and Innovation:

• Collaborate with cross-functional teams to understand business requirements and translate them into technically advanced solutions.
• Foster a culture of innovation, pushing the boundaries of what's possible in AI and data architecture.

11. Leadership in Data Product Industrialization:

• Provide technical leadership in the industrialization of Data Products, ensuring scalability and reliability.
• Mentor a team of data engineers and architects, driving excellence in design and implementation.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, AI, or a related field.
• 10+ years of experience as a Data Platform Architect or a similar role.
• Proven experience as a Data Platform Architect with a focus on industrializing AI Data Products.
• In-depth knowledge of data architecture principles, data modeling, and database design.
• Proficiency in programming languages such as Python, SQL, or relevant to data engineering.
• Experience with big data technologies and frameworks (e.g., Hadoop, Spark).
• Advanced knowledge and experience with the Azure stack, including Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Azure Kubernetes Service (AKS).
• Proficiency in designing and implementing scalable data platforms and solutions using cloud technologies.
• Strong expertise in data integration, ETL processes, and data modeling concepts.
• Experience with containerization technologies like Kubernetes and Docker.
• In-depth knowledge of machine learning frameworks, MLOps, and AI model architectural design.
• Solid understanding of data governance, security, and privacy principles.
• Strong problem-solving skills and the ability to analyze complex technical challenges.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
• Relevant certifications in Azure, data engineering, or machine learning (e.g., Azure Data Engineer, Azure AI Engineer) are a plus.

Benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan.
• Professional development opportunities.

If you are a highly motivated individual with a passion for designing and architecting scalable data platforms, leveraging advanced technologies, and driving data-driven innovation, we would love to hear from you. Join our team and contribute to the success of our organization by shaping the future of our data platform architecture and analytics solutions.

To apply, please submit your resume, along with a cover letter detailing your relevant experience and achievements in data platform architecture.

Position Type                       

CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.

Equal Opportunity Employer 

CAE is an equal-opportunity employer committed to diversity, equity, and inclusion. As "One CAE," we take affirmative action to ensure equal opportunity for all applicants regardless of race, nationality, colour, religion, sex, gender identity and expression, sexual orientation, disability, neurodiversity, Veteran status, age, or other legally protected characteristics.  

If you don't see yourself fully reflected in every job requirement listed in the job posting, we still encourage you to reach out and apply. At CAE, everyone is welcome to contribute to our success. If reasonable accommodation is needed to participate in the job application or interview process, please get in touch with us at rh-hr@cae.com.