Senior Manager, Data Engineering
Indexed description
In 2021, ecobee became a subsidiary of Generac Power Systems. Generac introduced the first affordable backup generator and later created the category of automatic home standby generator. The company is committed to sustainable, cleaner energy products poised to revolutionize the 21st century electrical grid. Together, we take pride in making a meaningful difference to the environment.
Why we love to do what we do:
We’re helping build the world of tomorrow with solutions that improve everyday life while making a positive impact on the planet. Our products and services work in harmony to provide comfort, efficiency, and peace of mind for millions of homes and businesses. While we’re proud of what we’ve done so far, there’s still a lot we can do—and you can be part of it.
Join our extraordinary team.
We're a rapidly growing global tech company headquartered in Canada, in the heart of downtown Toronto, with an office in Leeds, UK, and remote ecopeeps in the US. We get to work with some of North America and UK's leading professionals. Our colleagues are proud to bring their authentic selves to work, confident that what we do is grounded in a greater purpose. We’re always looking for curious, talented, and passionate people to join our team.
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.
- A well established history of building efficient 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.
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)
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.
Accessibility Statement (Applicable in the United Kingdom): The Company is committed to improving accessibility for employees and applicants with disabilities and to ensuring that they have the support and the tools they need to succeed. We have developed policies relating to human rights, accessibility, and accommodation, in line with the Equality Act 2010. If you feel you need consideration of ‘reasonable adjustments’ where possible relation to a disability in the application process or in the future, or have a question or concern about our policies, please reach out to [email protected].
“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”
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