Modern Data Stack Engineer Consultant / Senior Consultant
$58,000–$102,000 year
Hybrid · Toronto, Ontario, Canada or Montréal, Quebec, Canada
Job Summary
Data & AI Platform Engineer on Deloitte Canada’s AI & Data Transformation team designing, building, and scaling cloud-native data platforms across Azure, AWS, Snowflake, and Databricks; modernizing legacy environments; implementing AI-enabled use cases and agentic AI solutions; accelerating SDLC through automated data pipelines and copilots; ensuring platform governance, data quality, lineage, observability, and reliability; collaborating with AI engineers, data scientists, architects, and business stakeholders in a bilingual (French/English) client-facing context.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- Minimum of 3+ years of relevant data engineering/cloud data solutions experience
- Strong experience with cloud data platforms (Azure, AWS, Snowflake, Databricks)
- Experience modernizing data platforms (DataStage, Informatica, Cognos, SAS 9 to Databricks/Snowflake/SAS Viya)
- Certifications in Databricks/Snowflake/Azure/AWS/SAS preferred
- Experience with ETL/ELT, data modeling, orchestration, streaming
- Experience enabling AI/ML use cases and SDLC automation with agentic AI
- Cross-functional, agile team experience
- Bilingual proficiency in French and English
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