Hybrid Data & AI Solution Architect (AWS & GenAI)

AstraZeneca; Mississauga; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A global biopharmaceutical company in Mississauga is seeking a Data & AI Solution Architect to drive innovation in data solutions and AI integration. You will lead the architecture of scalable cloud data platforms and collaborate with multiple teams to deliver impactful projects. Ideal candidates have strong expertise in data engineering and AI technologies, with great communication skills. This role offers a collaborative work environment and opportunities for professional growth.

Benefits

GTAA Top Employer Award for 10 years

Top 100 Employers Award

Canada’s Most Admired Corporate Culture

Qualifications

• Hands-on architecture across cloud data platforms, ETL/ELT, data modeling/integration; experience with LLMs and multimodal AI.
• Strong understanding of privacy, security, and data governance frameworks.
• Experience with Agile/Scrum/Kanban is a plus.

Responsibilities

• Lead the roadmap for data platforms and AI solutions.
• Architect scalable pipelines and cloud data solutions.
• Design solutions using generative AI and oversee technical reviews.
• Collaborate across IT, Data Science, Commercial, Legal, and external vendors.
• Champion standard methodologies in governance, security, and compliance.
• Communicate progress and help establish our Data & AI Center of Excellence.

Skills

Data & AI expertise

Strong Python and SQL

Business insight

End‑to‑end delivery

Influence & communication

Compliance outlook

Impact orientation

Education

Bachelor’s in a relevant field

Master’s a plus

Tools

AWS services (e.g., Redshift, S3, Glue, Athena, dbt, Airflow)

APIs

Job description

A global biopharmaceutical company in Mississauga is seeking a Data & AI Solution Architect to drive innovation in data solutions and AI integration. You will lead the architecture of scalable cloud data platforms and collaborate with multiple teams to deliver impactful projects. Ideal candidates have strong expertise in data engineering and AI technologies, with great communication skills. This role offers a collaborative work environment and opportunities for professional growth.