Senior Data Engineer (Databricks)

Location: Remote anywhere in Canada

Salary: CAD 125,000–165,000 per year

Company

hirify.global provides an AI-powered Branch Performance Platform for financial institutions, combining appointment scheduling, branch queuing, video banking, and workforce management.

What you will do

• Build and run production pipelines in Databricks, including Lakeflow, Jobs, and dbt, from customer-file ingestion through reporting-ready tables.
• Lead the migration from Redshift and legacy Postgres environments to the Databricks Lakehouse.
• Own replication and ingestion from production databases using AWS DMS, Databricks Lakeflow Connect, and Fivetran across multiple environments.
• Define data contracts with internal teams and external ML partners, including schema-change protection, data residency, and PII handling.
• Provide effort estimates and technical trade-offs to product teams, monitor pipeline health, data quality, and Databricks costs, and participate in the data on-call rotation.
• Document runbooks, lineage, and design decisions, while contributing to the adoption of AI tools across Engineering.

Requirements

• 5+ years of data engineering experience, including 2+ years running Databricks in production with Delta, Jobs, DLT/Lakeflow, and Unity Catalog.
• Strong Python, SQL, and dbt skills.
• Experience replicating operational databases through CDC or events and ingesting messy files.
• Participation in at least one warehouse or lakehouse migration.
• Comfort with AWS data services and Infrastructure-as-Code such as Terraform or DAB.
• Experience handling PII or regulated data; financial services experience is ideal.
• Experience with LookML or embedded Looker and with pipelines feeding forecasting or ML models.
• Hands-on use of AI coding agents such as Claude Code or similar for pipelines, dbt, debugging, or troubleshooting.
• Ability to work with high autonomy, take initiative, lead projects, and focus on the highest-priority initiatives.

Nice to have

• Financial services experience.
• Experience with new technology, AI, and large language models.
• Unique data engineering experience that can benefit the team.

Culture & Benefits

• 12-month contract within a collaborative Data Enablement team using an agile, iterative approach.
• Blameless culture, continuous improvement mindset, and shared engineering on-call responsibility.
• Flexible work environment with flex-time and flex-days, subject to customer responsiveness and service needs.
• Professional development, learning opportunities, regular 1:1 coaching, and executive-team connection.
• Health and dental benefits, virtual care, disability top-up, mental-health support, GRSP matching, and a CAD 1,000 annual wellness benefit.
• Remote work anywhere in Canada, internet subsidy, employee options, and incentive opportunities.