Staff Analytics Engineer

Hi, we are ecobee. ecobee introduced the world’s first smart Wi-Fi thermostat to help millions of consumers save money, conserve energy, and bring home automation into their lives. That was just the beginning. We continue our pursuit to create technology that brings peace of mind into the home and allows people to focus on the moments that matter most. We take pride in making a meaningful difference to the environment, all while being part of the exciting, connected home revolution. 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'll Be Joining The Business Intelligence team designs, maintains and improves the analytics infrastructure that informs decisions across the company. Analytics engineering is a core and growing investment, and this role sits at the center of that work. The Staff Analytics Engineer is a deeply technical individual contributor who owns the transformation layer of the data platform, treats analytical data as a product, and drives how data is modeled, certified, and delivered. You define the standards, reusable patterns, and decision frameworks for the lakehouse silver and gold layers, and raise analytics engineering practice through mentorship and technical leadership This role follows a hybrid schedule, with in-office work required on Wednesdays and Thursdays from our Toronto office to support collaboration, and flexibility to work remotely for the remainder of the week. How You’ll Make an Impact: Transformation Layer Ownership Own and evolve the Silver and Gold layers of the lakehouse using dbt Apply dbt best practices across project structure, modular design, dimensional modeling, testing, and documentation standards Publish curated, certified datasets (conformed dimensions, core metrics) that are reusable and trusted across teams Design and maintain the semantic/metrics layer for standardized and consistent self-service analytics Pipelines and Platform Collaboration Design transformation workflows and contribute to end-to-end data pipelines Partner with data engineering to align ingestion, schema design, and architecture with analytics needs Monitor and optimize pipelines for performance, reliability, and cost efficiency Data Quality, Governance, and Reliability Implement robust data quality frameworks, testing, and observability (e.g., freshness, schema drift, accuracy, anomalies) Define and maintain data contracts between producers and consumers (e.g., schema, SLOs, quality expectations) Drive schema change management (versioning, backward compatibility, stakeholder communication) Design and enforce classification and certification standards so consumers can discover and trust analytical assets Ensure production reliability through SLO/SLI measurement, actionable alerting, and continuous improvement Own production operations for critical data flows (incident response, runbooks, root cause analysis) against defined SLOs Embed privacy and security controls in data models and pipelines (PII handling, masking, access controls, and compliance) Cross-functional Leadership and Delivery Drive alignment across Analytics, Product, Engineering, and business stakeholders on analytics data models and platform decisions Surface technical constraints and trade-offs to inform delivery planning and long-term platform scalability Translate business requirements into technical specs and deliver consumption-ready curated datasets and semantic models for downstream reporting Maintain durable documentation for pipelines, models, architecture, and operating processes Technical Leadership and Standards Define and maintain analytics engineering standards for dbt development (modelling conventions, testing requirements, documentation, review expectations) Hold code quality to a high bar through structured reviews focused on readability, modularity, testability, and standards compliance Provide technical mentorship that elevates craft and quality across analytics engineering and analytical work Evaluate and advocate for tools, patterns, and practices that improve platform reliability, scalability, and maintainability What You’ll Bring to the Table: Deep hands-on DBT expertise: modular, tested, well-documented models; project structure at scale Strong data modelling skills (dimensional modelling, star/snowflake) and warehouse optimization Proficiency in Python and SQL for building and troubleshooting transformation code and pipelines Experience owning a semantic or metrics layer as a shared product that standardizes business logic across tools and teams Hands-on experience with GCP services, including BigQuery, Dataflow, and Cloud Storage and lakehouse layer interaction Production experience with orchestration tools such as Apache Airflow or Cloud Composer Experience designing solutions for both batch and real-time processing Strong command of data quality and governance, including data contracts, observability, and SLO-driven operations Practical application of data-as-a-product principles, including discoverability, lineage, quality guarantees, and versioning Proficiency with CI/CD practices, Git and GitHub, and modular development workflows Distributed processing familiarity (Spark/Kafka) and credible partnership with data engineering on end-to-end design Working knowledge of data privacy requirements and technical controls (PII handling, masking, encryption, retention, and access controls) Familiarity with cloud cost optimization across compute, storage, and query patterns Proven ability to influence across engineering, analytics, and business through technical credibility and clear communication; ability to explain architecture trade-offs to non-technical stakeholders J ust so you know: The hired candidate will be required to complete a background check 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: Round 1: 30-minute phone call with a member in Talent Acquisition Round 2: 75-minute video interview with the Hiring Manager covering technical, behavioral, and situational questions to evaluate your qualifications and fit for the role Round 3: 90-minute video interview with team members to delve into your technical expertise and experience Final Interview: 45-minute video interview with the VP #LI-UF1 Generac is committed to fair and equitable compensation practices. The salary range for this role, based in Toronto, Ontario, Canada, is between $147,700 CAD - $191,900 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. The Company is committed to improving accessibility for Canadian with disabilities and to ensuring that all our employees and applicants have the support and the tools they need to succeed. We have developed policies relating to human rights, accessibility, and accommodation, and provide all our employees with training on accessibility including under provincial legislation such as the Accessibility for Ontarians with Disabilities Act, 2005, either during orientation and/or on an ongoing basis. If you feel you need accommodation in 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 Physical Demands (Applicable in the USA and Canada) : While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel. 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 . “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.”