Senior Data Engineer: Real-Time Lakehouse on Databricks

FGF Brands; Canada; On-site; CAD 110,000 - 170,000; Full time

Benefits offered by this job

Health benefits

RRSP matching

Tuition reimbursement

Discount program

Job summary

FGF Brands is seeking a Senior Data Engineer in Canada to design and deliver scalable real-time streaming and batch data pipelines using Azure Databricks. The role focuses on lakehouse architectures, data modeling, and CI/CD practices to power analytics, ML, and operational insights across the organization.

You will lead end-to-end design and development of data solutions, collaborate with data architects and stakeholders, and stay current with evolving cloud data platform trends and BI tooling.

Qualifications

• 5+ years of experience in Data Engineering.
• 3+ years architecting on Azure Databricks.
• Deep knowledge of Delta Lake and Lakehouse patterns.
• Expert in Python and SQL for ETL/ELT logic.
• Strong data warehouse modeling and dimensional modeling.
• Experience with data orchestration tools (e.g., Azure Data Factory).
• CI/CD practices, Git, Databricks CLI, and testing.

Responsibilities

• Architect, implement and deliver real-time streaming and batch data pipelines using Spark, Delta Lake, and Databricks.
• Design and maintain Lakehouse architecture for BI and analytics use cases.
• Develop data models for analytics and reporting.
• Build and maintain CI/CD pipelines for data workflows.
• Collaborate with stakeholders to translate data challenges into solutions.
• Implement data quality, observability, and monitoring frameworks.
• Lead and mentor junior engineers and promote best practices.
• Contribute to the technical strategy and long-term vision for the data platform.
• Stay current with AI, ML pipelines, and cloud data platform trends.

Skills

Python

SQL

Spark

Data Modeling

CI/CD

Data Warehousing

Azure Databricks

Communication

Tools

Azure Databricks

Delta Lake

Spark

Databricks Workflows

Job description

FGF Brands is seeking a Senior Data Engineer in Canada to design and deliver scalable real-time streaming and batch data pipelines using Azure Databricks. The role focuses on lakehouse architectures, data modeling, and CI/CD practices to power analytics, ML, and operational insights across the organization.

You will lead end-to-end design and development of data solutions, collaborate with data architects and stakeholders, and stay current with evolving cloud data platform trends and BI tooling.