Lead Data and AI Engineer

Location: Toronto, ON, Canada; onsite

Salary: 158,200–208,200 annually, including target bonus.

Company

hirify.global is an R&D-driven biopharmaceutical company developing medicines and vaccines and advancing data, artificial intelligence, and machine learning to improve healthcare outcomes.

What you will do

• Lead, mentor, and develop a team of data engineers while establishing strong engineering practices and continuous improvement.
• Design, build, deploy, and support scalable data pipelines, data products, and reusable data assets for analytics, AI/ML, and commercial use cases.
• Provide architectural leadership across pipeline orchestration, distributed processing, cloud-native platforms, data integration, and enterprise data architecture.
• Lead technical discovery and planning, translating ambiguous business needs into scalable data engineering solutions.
• Manage delivery priorities, capacity planning, execution, release management, incident response, monitoring, and production support.
• Partner with analytics, AI/ML, infrastructure, cloud, security, governance, agile, and business stakeholders.

Requirements

• At least 8 years of experience in data engineering, analytics/AI engineering, or data platform development.
• At least 2 years of experience leading or managing engineering teams or projects.
• Experience designing, building, and operating scalable data pipelines, data platforms, and distributed processing solutions using technologies such as Spark, Kafka, Snowflake, Hadoop, or similar.
• Strong cloud-native data engineering and ETL/ELT experience, preferably in Snowflake or AWS environments.
• Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages.
• Experience with batch, near-real-time, and streaming architectures, data warehouses, data lakes, lakehouses, CI/CD, testing, release management, and operational support.

Nice to have

• Experience in life sciences, healthcare, or pharmaceutical industries.
• Experience with Airflow, dbt, Informatica/IICS, data governance, or data quality.
• Experience with commercial data domains, external vendors, or offshore/onshore delivery models.

Culture & Benefits

• Supportive, future-focused environment centered on scientific innovation and improving people’s lives.
• Opportunities for professional growth through promotion or lateral moves, including international opportunities.
• Rewards package that recognizes contribution and impact.
• Health and wellbeing benefits, including healthcare, prevention, and wellness programs.