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 team is responsible for orchestrating the flow of data across the company while ensuring data accessibility accuracy and security.
Workday offers flexible work arrangements requiring at least half of the time each quarter to be spent in the office or with customers.
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 described as linked
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
PhD in Computer Science or related field
Strong strategic thinking and problem-solving skills
Ability to articulate complex technical concepts
Culture of innovation reliability and ownership
Key Requirements
Bachelor's or Master's degree required PhD plus
10+ years experience in data or software engineering
7+ years experience leading engineering managers
Proven track record scaling enterprise ETL ELT pipelines