Who You Will Be Joining As a Senior Engineering Manager in Data Engineering, you will lead a team of data engineers to build out our next generation Data Platform. With their support, you'll be responsible for large-scale solutions that integrate data across our ecosystem and it will be your creative thinking in system and service design that creates unique and seamless experiences for our internal customers and partners.

Your expertise will help shape our future by influencing the overall strategy, driving system architecture and establishing best practices in software development.

This role follows a hybrid schedule, with in-office work required on Wednesdays and Thursdays to support collaboration from our Toronto office, and flexibility to work remotely for the remainder of the week. How You’ll Make An Impact

- Foster a positive, supportive and inclusive work environment.
- Hire and develop a team of software and data engineers—providing coaching, mentoring, motivation, and technical guidance.
- Lead system architecture design that reduces complexity and enables extendibility and reusability.
- Continuously improve engineering practices—balancing speed, quality, and business impact.
- Build effective agile practices that deliver robust solutions on time and on budget.
- Lead execution of project plans, delivery commitments and risk mitigation.
- Help evaluate the feasibility of initiatives through quick prototyping with respect to performance, quality, time and cost.
- Build strong partnerships with cross-functional teams and contribute to deliver unique customer experiences.





What You’ll Bring To The Table We've built the following list as a guideline for some of the skills and interests of our development team - but we strive to build our team with members from a diverse background and skill set, so if any combination of these apply to you, we would love to chat!

- A well established history of building productive and scalable data platforms and driving their adoption across engineering, analytics, and ML teams.
- Experience managing a team of engineers.
- Expertise in building production grade, low latency, high performance services.
- Experience managing data platforms as a product.
- Experience with implementing end-to-end scalable solutions in the cloud.
- Excellent communication skills, both written and verbal.
- Experience communicating with technical and non-technical stakeholders across multiple business units.
- Experience with agile and other program management methodologies.
- You proactively identify upcoming risks, issues and bottlenecks within your team and across departmental boundaries.
- You thrive in a fast-paced, ambiguous, and high-stakes environment.
- You are a smart, curious, and analytical person with a bias for action.

Just so you know: The hired candidate will be required to complete a background check.

What Technologies We Use

- Python, dbtLabs, SQL, GitHub Actions (CI/CD)




- Google Cloud Platform: BigTable, BigQuery, Pub/Sub, Dataflow, Dataproc, Airflow, Kubeflow etc.
- Terraform, Docker, MLOps Platform (VertexAI, MLFlow)

What Happens After You Apply Application review . It will happen by an actual person in Talent Acquisition. We get upwards of 100+ applications for some roles, it can take a few days, but every applicant can expect a note regarding their application status.

Interview Process

- A 30-minute phone call with a member in Talent Acquisition.
- A first round 60-minute virtual interview with the hiring manager and a Cross Functional Leader – expect technical, behavioural and situational questions.
- The final interview will be a 60-minute discussion based round with two Senior Engineers to dive deeper into your technical expertise.

Generac is committed to fair and equitable compensation practices. The salary range for this role based in Ontario, Canada is $175,900 CAD - $237,500 CAD. This compensation will ultimately be in line with the location in which the position is filled. Final compensation for this role will be determined by various factors such as a candidate’s relevant work experience, skills, certifications and geographic location.

This role is eligible for variable compensation including short term and long-term incentives. This position includes a comprehensive benefit package that includes medical, dental and vision plans; life, long-term disability, flexible spending and health savings accounts, accrued paid time off, paid Holidays (10 for Ontario, 11 for British Columbia) and RRSP retirement benefits.

📌 Senior Manager, Data Engineering (Toronto)
🏢 Generac
📍 Toronto