Senior Data Engineer/Architect

FGF Brands; Ontario; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading company in the food industry is seeking a Senior Data Engineer/Architect. This role involves designing and implementing real-time data solutions using Databricks and MongoDB, alongside mentoring team members. With competitive compensation and numerous perks, FGF Brands is committed to fostering growth and creativity in a collaborative environment.

Benefits

Competitive Compensation

Health Benefits

Flexible medical/Health spending account

RRSP matching program

Tuition reimbursement

Discount program for restaurants, gyms, shopping

Qualifications

• 5+ years of experience in Data Engineering.
• 3+ years of experience architecting on Azure Databricks.
• Strong hands-on experience with MongoDB and real-time ingestion.

Responsibilities

• Architect and deliver real-time streaming solutions.
• Design and implement robust, scalable data pipelines.
• Drive performance tuning and reliability across data ecosystems.

Skills

Data Engineering

MongoDB

Spark

Delta Lake

Azure Databricks

Python

SQL

RESTful APIs

Data Governance

Education

Master’s or Bachelor’s degree in Computer Science, Data Engineering, or related fields

Tools

Azure Data Factory

Event Hubs

Kafka

Job description

Job Description

Senior Data Engineer/Architect

We’re a naan traditional company…

Summary

We are seeking a Databricks Engineer/Architect with deep expertise in designing and delivering real-time data solutions that bridge MongoDB applications with a Lakehouse architecture on Databricks. In this role, you will lead the end-to-end architecture, design, and development of scalable data solutions that enable intelligent, low-latency insights across the organization.

This role is perfect for someone who thrives in a dynamic environment, is passionate about real-time streaming, and has a strong grasp of MongoDB, Spark, Delta Lake, and Azure Databricks. Creativity, adaptability, and a problem-solving mindset are essential as you'll drive innovation in data engineering practices to meet ever-evolving business needs.

Reporting to the Team leader, Insight & Analytics the Senior Data Engineer will be responsible for the following duties, and complete special initiatives and projects as assigned.

What FGF Offers:

• FGF believes in Home Grown Talent, accelerated career growth with leadership training. Unleashing Your Potential
• Competitive Compensation, Health Benefits, & a generous flexible medical / Health spending account
• RRSP matching program
• Tuition reimbursement
• Discount program that covers almost everything under the sun - Restaurants, gyms, shopping etc.

Key Responsibilities

• Architect and deliver real-time streaming solutions that ingest and transform data from MongoDB into Databricks for downstream analytics.
• Design and implement robust, scalable data pipelines that support both batch and real-time workloads.
• Develop and maintain a Lakehouse architecture using Delta Lake on Azure Databricks, supporting business intelligence and operational analytics use cases.
• Collaborate with stakeholders to understand data challenges and translate requirements into high-performing technical solutions.
• Lead the solutioning process end-to-end—from initial prototyping to production-scale deployment.
• Drive performance tuning, reliability, and monitoring strategies across the data pipeline ecosystem.
• Provide technical leadership and mentorship to data engineers and cross-functional teams.

Required Experience

• 5+ years of experience in Data Engineering, with at least 3+ years architecting on Azure Databricks.
• Strong hands-on experience with MongoDB, including working with change streams for real-time ingestion.
• Demonstrated expertise in building streaming pipelines using Spark Structured Streaming within Databricks.
• Master’s or Bachelor’s degree in Computer Science, Data Engineering, or related fields.
• Deep knowledge of Delta Lake, Medallion Architecture, and Lakehouse patterns.
• Expert in Python and SQL for developing ETL/ELT logic and transformations.
• Familiarity with distributed computing concepts (RDDs, DataFrames, Spark SQL).
• Experience designing RESTful APIs for data services or integrations.
• Ability to translate ambiguous requirements into scalable, production-ready systems.
• Excellent communication, documentation, and stakeholder management skills.
• Strong analytical and problem-solving abilities; comfort working in fast-paced environments.
• Familiarity with tools such as Azure Data Factory, Event Hubs, or Kafka.
• Experience deploying and monitoring jobs in production using Databricks Jobs and CI/CD workflows.
• Knowledge of data governance, lineage, and security best practices in cloud environments.
• Continuous learning and staying updated with the latest advancements in Azure Databricks and data engineering are essential for success in this role.

What is the recipe for a great career at FGF?Working at FGF Brands, there is never a dull moment! As a successful company that is continually growing there is always challenging yet rewarding work to be a part of.We have an entrepreneurial spirit which encourages all our team members to use their own creativity and out of the box thinking to come up with solutions and new ideas.

In compliance with Ontario’s Bill 190, we confirm that this posting represents a current, existing vacancy within our organization.

Disclaimer: The above describes the general responsibilities, required knowledge and skills. Please keep in mind that other duties may be added or this description may be amended at any time.

IT

#LI-ONSITE

#LI-SS2