Senior Manager, Data Engineering
- Toronto, ON, Canada
The salary range for this role based in Ontario, Canada is $175,900 CAD - $237,500 CAD. · Full-time
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Job details
- Pay
- The salary range for this role based in Ontario, Canada is $175,900 CAD - $237,500 CAD.
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
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
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!
What Technologies We Use
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
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.
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 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)
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.
More about this job
Responsibilities
Lead and develop a team of data engineers building a next-generation data platform, including setting architecture and engineering practices for scalable, integrated solutions. Drive project delivery, risk management, agile execution, prototyping, and cross-functional partnerships while fostering an inclusive team environment.
Requirements
Candidates should have a strong track record building and driving adoption of efficient, scalable data platforms, experience managing engineers, and expertise delivering production-grade, high-performance services and cloud solutions. Strong communication and program management skills are needed, along with the ability to identify risks and succeed in fast-paced, ambiguous environments.
Skills
- Data Platform Engineering
- Team Management
- System Architecture
- Scalable Data Solutions
- Cloud Computing
- High-Performance Services
- Agile Methodologies
- Project Management
- Risk Mitigation
- Stakeholder Communication
- Python
- SQL
- Google Cloud Platform
- Terraform
- MLOps
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Long-Term Disability
- Flexible Spending Accounts
- Health Savings Accounts
- Paid Time Off
- Paid Holidays
- RRSP Retirement Benefits
- Short-Term Incentives
- Long-Term Incentives
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
- Energy
Keywords
- Data Engineering
- Data Platform
- Python
- Dbt
- SQL
- GitHub Actions
- CI/CD
- Google Cloud Platform
- Bigtable
- BigQuery
- Pub/Sub
- Dataflow
- Dataproc
- Airflow
- Kubeflow
- Terraform
- Docker
- Vertex AI
- MLflow
- MLOps
- System Architecture
- Agile
- Cloud Computing
- Data Engineering Management
- Project Planning
- Risk Mitigation
- Prototyping
- Machine Learning
- Analytics