7+ years managing high-performing engineering teams
Expertise with aws snowflake databricks ecosystems
This role oversees the strategic direction and execution of both core Data Engineering & Integrations and a newly formed AI Engineering Operations function
Job Summary
This role oversees the strategic direction and execution of both core Data Engineering & Integrations and a newly formed AI Engineering Operations function.
The company is a Fortune 500 leader in AI platforms for managing people, money, and agents, shaping the future of work.
Candidates must have deep expertise in modern data architectures, cloud-native platforms like AWS and Snowflake, and emerging MLOps methodologies.
Matching Summary
This role oversees the strategic direction and execution of both core Data Engineering & Integrations and a newly formed AI Engineering Operations function.
Salary
Base: $159,800 - $239,800 CAD; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package available
Skills & Requirements
Must-have
10+ years experience in data engineering
7+ years managing high-performing engineering teams
Expertise with AWS Snowflake Databricks ecosystems
Experience building MLOps AI Engineering Operations function
Deep familiarity with MLflow Kubeflow Sagemaker tools
Nice-to-have
Strong strategic thinking and problem-solving skills
Excellent communication with non-technical stakeholders
PhD in Computer Science or related field
Ability to inspire and develop talent
Experience working with cross-functional teams
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
10+ years of technical experience in data or software engineering
7+ years of management experience including direct reports