Our client, a premier leader in the Canadian financial services and insurance sector, is seeking an experienced Senior Data & AI Platform Designer to guide and modernize their cloud-based analytics ecosystem. In this strategic technical role, you will collaborate closely with enterprise architecture, security teams, and data engineering pods to architect, configure, and scale secure, high-performance data platforms. You will play a pivotal role in implementing cutting-edge Artificial Intelligence (AI) frameworks, Machine Learning operations, and Generative AI solutions while fostering technical excellence and mentoring team members.
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Advantages
Long-Term Contract: Engagement through March 31, 2028, offering outstanding stability.
Flexible Hybrid Setup: Position based out of modern hubs in either Montreal or Quebec City.
Balanced Work Life: Standard 35-hour workweek with regular business hours.
Cutting-Edge Technology: Hands-on experience with industry-leading platforms in Cloud Data, Machine Learning, and Generative AI.
Collaborative Environment: Work alongside top-tier technical architects and digital transformation experts.
Responsibilities
Architect and deploy end-to-end cloud data solutions, ensuring adherence to AI governance, data privacy, and enterprise security standards.
Establish and streamline DevOps methodologies, automated pipelines, and continuous deployment environments to optimize data delivery teams.
Operationalize advanced analytics, Business Intelligence infrastructure, MLflow pipelines, and emerging Generative/Agentic AI platforms.
Act as a technical authority, leading complex build efforts, providing architectural guidance, and mentoring junior engineers.
Perform root-cause analysis and performance tuning across data environments to ensure platform stability, high availability, and cost efficiency.
Liaise with cloud ecosystem vendors and internal cross-functional groups (Security, Infrastructure, Enterprise Architecture) to manage platform updates and evolution.
Promote code reusability, participate in vendor software evaluations, and maintain comprehensive technical design documentation.
Qualifications
Experience: Minimum of 7 years in data engineering, platform design, BI, and advanced analytics environments.
Core Technical Expertise: Mandatory proficiency in Snowflake, Databricks, and Microsoft Azure cloud ecosystems.
AI & ML Exposure: Solid familiarity with Machine Learning platforms and Generative AI capabilities (e.g., Azure AI Foundry, Snowflake Cortex, OpenAI, or Google Gemini Enterprise).
Automation & Delivery: Proven track record with CI/CD, DevOps practices, and data pipeline tools (e.g., Azure Data Factory, Spark).
Leadership & Soft Skills: Strong technical leadership skills with a proven track record of mentoring junior staff, translating complex ideas, and driving consensus.
Asset: Knowledge of Google Cloud Platform (GCP), BigQuery, or prior experience within the insurance and financial services domain.
Methodologies: Strong background working in Agile/SAFe environments.
Language Requirements: Fluency in French (spoken and written) with functional proficiency in English.
Our client operates in Canada. The company takes all reasonable steps to limit the number of positions in Quebec that require knowledge of a language other than French, and only requires it when necessary and its existing bilingual employees are unable to perform these duties. Based on an assessment conducted by our client, it has been determined that this position requires candidates to be fluent in English (both spoken and written). In particular, this position will require the employee to interact with centralized internal departments (e.g., Operations / HR / Finance / Legal / Contracts / Sales) that support the organization in Canada and that do not speak French.
Summary
Location: Montreal, QC or Quebec City, QC (Hybrid)
Duration: Contract through March 31, 2028
Schedule: 35 hours/week
Position Type: Full-Time Contract
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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Our client, a premier leader in the Canadian financial services and insurance sector, is seeking an experienced Senior Data & AI Platform Designer to guide and modernize their cloud-based analytics ecosystem. In this strategic technical role, you will collaborate closely with enterprise architecture, security teams, and data engineering pods to architect, configure, and scale secure, high-performance data platforms. You will play a pivotal role in implementing cutting-edge Artificial Intelligence (AI) frameworks, Machine Learning operations, and Generative AI solutions while fostering technical excellence and mentoring team members.
Advantages
Long-Term Contract: Engagement through March 31, 2028, offering outstanding stability.
Flexible Hybrid Setup: Position based out of modern hubs in either Montreal or Quebec City.
Balanced Work Life: Standard 35-hour workweek with regular business hours.
Cutting-Edge Technology: Hands-on experience with industry-leading platforms in Cloud Data, Machine Learning, and Generative AI.
Collaborative Environment: Work alongside top-tier technical architects and digital transformation experts.
Responsibilities
...
Architect and deploy end-to-end cloud data solutions, ensuring adherence to AI governance, data privacy, and enterprise security standards.
Establish and streamline DevOps methodologies, automated pipelines, and continuous deployment environments to optimize data delivery teams.
Operationalize advanced analytics, Business Intelligence infrastructure, MLflow pipelines, and emerging Generative/Agentic AI platforms.
Act as a technical authority, leading complex build efforts, providing architectural guidance, and mentoring junior engineers.
Perform root-cause analysis and performance tuning across data environments to ensure platform stability, high availability, and cost efficiency.
Liaise with cloud ecosystem vendors and internal cross-functional groups (Security, Infrastructure, Enterprise Architecture) to manage platform updates and evolution.
Promote code reusability, participate in vendor software evaluations, and maintain comprehensive technical design documentation.
Qualifications
Experience: Minimum of 7 years in data engineering, platform design, BI, and advanced analytics environments.
Core Technical Expertise: Mandatory proficiency in Snowflake, Databricks, and Microsoft Azure cloud ecosystems.
AI & ML Exposure: Solid familiarity with Machine Learning platforms and Generative AI capabilities (e.g., Azure AI Foundry, Snowflake Cortex, OpenAI, or Google Gemini Enterprise).
Automation & Delivery: Proven track record with CI/CD, DevOps practices, and data pipeline tools (e.g., Azure Data Factory, Spark).
Leadership & Soft Skills: Strong technical leadership skills with a proven track record of mentoring junior staff, translating complex ideas, and driving consensus.
Asset: Knowledge of Google Cloud Platform (GCP), BigQuery, or prior experience within the insurance and financial services domain.
Methodologies: Strong background working in Agile/SAFe environments.
Language Requirements: Fluency in French (spoken and written) with functional proficiency in English.
Our client operates in Canada. The company takes all reasonable steps to limit the number of positions in Quebec that require knowledge of a language other than French, and only requires it when necessary and its existing bilingual employees are unable to perform these duties. Based on an assessment conducted by our client, it has been determined that this position requires candidates to be fluent in English (both spoken and written). In particular, this position will require the employee to interact with centralized internal departments (e.g., Operations / HR / Finance / Legal / Contracts / Sales) that support the organization in Canada and that do not speak French.
Summary
Location: Montreal, QC or Quebec City, QC (Hybrid)
Duration: Contract through March 31, 2028
Schedule: 35 hours/week
Position Type: Full-Time Contract
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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