Senior Consultant, Databricks Data Engineer, Data & AI

About the role

Toast is recruiting on behalf of one of the world's largest professional services firms for a Senior Consultant, Databricks Data Engineer to join its Data & AI practice in Calgary or Vancouver. The firm advises many of Canada's largest organizations on audit, tax and advisory, and its digital team helps clients move from legacy and on-prem data platforms to scalable, secure and cost-optimized Lakehouse architectures. This is a hands-on, client-facing role for a data engineer who leads workstreams on high-profile modernization projects.

Key responsibilities

• Partner with clients to understand their business goals, gather requirements and turn them into technical designs and delivery plans.
• Translate business and analytics needs into a data strategy, including ETL/ELT, data models and staging data for analysis.
• Contribute to end-to-end solution architecture, including non-functional requirements and operational readiness.
• Lead delivery of modern data platforms on Databricks, including ETL/ELT pipelines, workload migrations and governance enablement.
• Implement Delta Lake and Lakehouse patterns such as medallion architecture, CDC, incremental processing and data quality controls.
• Design and build scalable batch and streaming pipelines using Spark and modern orchestration patterns.
• Apply CI/CD and engineering best practices, including version control, automated deployment, testing and release management.
• Set up governance with Unity Catalog, covering access controls, lineage and security frameworks.
• Support testing and production releases through troubleshooting, performance tuning and stabilization, and help create presentation materials for stakeholders.

Required profile

• University degree in computer engineering, mathematics, data science or a related discipline.
• 4+ years of experience in data engineering, business intelligence or a related field, with a track record of handling large datasets.
• 2+ years of hands-on Databricks experience, including Delta Lake and Unity Catalog.
• 1 to 2 years of experience leading workstreams or client-facing delivery.
• Proven experience leading large-scale data migrations to cloud-native environments.
• Experience with at least one major cloud platform (AWS, Azure or GCP).

Required skills

• Strong SQL and data modeling, dimensional modeling and data warehousing.
• Python or a similar scripting language.
• ETL across SQL and NoSQL databases.
• CI/CD practices, version control and pipeline orchestration.
• Databricks Certified Data Engineer (Associate or Professional) or a relevant AWS, Azure or GCP certification is a plus.

The compensation listed is base salary only; total compensation includes base salary plus annual bonuses. Applications are submitted through the recruiter's online portal, followed by a vetting call and then submission to the client.