About Gradient Ascent
Gradient Ascent is a leading AI and data consultancy that helps organizations harness data-driven insights to drive impact. Our team is deeply committed to delivering AI-powered solutions for healthcare, government, and social innovation.
Role Overview
As a Data Architect, you will be responsible for designing and maintaining the data infrastructure that powers the Compassionate Intervention digital solution. This includes creating secure, scalable, and high-performance data models that enable seamless data flow across health, justice, and social services agencies.
Key Responsibilities
- Design the overall data architecture for the Compassionate Intervention program, ensuring compliance with government standards.
- Lead the integration of data sources from medical, legal, and social support systems.
- Define and document data models, schemas, and pipelines to enable real-time data processing.
- Collaborate with cross-functional Agile teams to align data architecture with digital service standards.
- Implement privacy-first solutions, ensuring data security, encryption, and access controls.
- Optimize data storage and processing, leveraging cloud platforms (AWS, Azure, or Google Cloud).
Required Qualifications
- 5+ years of experience in data architecture, data modeling, or data engineering.
- Expertise in SQL and NoSQL databases, including PostgreSQL, MySQL, or MongoDB.
- Experience with data pipeline development using Python, Apache Kafka, or Spark.
- Knowledge of FOIP, cybersecurity best practices, and GoA data governance policies.
- Hands-on experience designing API-based data integration solutions across ministries.
- Proven experience with CI/CD for data infrastructure, DevOps tools (Terraform, Kubernetes, Docker).
- Must be located in Canada and have required work permits (citizen, PR, etc.).
📩 Apply now with the form below or email your resume & cover letter to careers@gradient-ascent.com.
Job Location: Remote Canada