Super.com - Engineering Manager, Data

• USA$140K – $196K • Canada - Tier 1CA$138K – CA$183K • Canada - Tier 2CA$133K – CA$176K • Tier 1: • Greater Toronto Area (City of Toronto, York Region, Durham Region, Peel Region, Halton Region) • Metro Vancouver (City of Vancouver, North Shore, Burnaby, New Westminster, Tri-Cities, Fraser Valley Edge, South of the Fraser River, and Richmond) • Tier 2: • All other Regions and Municipalities • As a remote-first organization we use benchmarking data reflective of your geographical areas to ensure our compensation package is competitive based on where you reside. Your TA partner will confirm which range applies to your location as part of the hiring process. • Super.com • We started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized. • We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are. • This role leads Finance Automation within Data Engineering. The team owns the financial data behind our general ledger, sales tax filing and month-end close: the dbt models, pipelines and NetSuite syncs that Accounting relies on to close the books accurately and on time. You’ll report to the Senior Manager, Data Engineering, and lead a team of five data and analytics engineers. • This role is part of our Analytics & Data Science team. Being Data Driven is a core value of Super.com and this team plays a huge part in this. We are long time advocates and users of Snowflake, DBT & Amplitude. This isn’t a place where we are convincing the business the value of data, or just using these tools for the first time. We have maturity in our technical practices, launch a new experiment every day, and are looking for teammates to roll up their sleeves and do high quality data work. • What you'll be working on • Oversee a full-stack team of 5+ data engineers or analytics engineers. You will be responsible for the continued staffing of the team, including being a key contributor to hiring processes • Propel the business and engineering org forward by leading high-impact transformational projects end-to-end in an iterative, data-driven, startup environment • Shape the technical roadmap for the team, contribute to product roadmap and OKR discussions, and drive the engineering agile processes for the team • Contribute to a culture of continuous improvement and growth, ensuring team members excel with oversight and mentorship, are working on projects at the intersection of interest, experience, and business impact, and have concrete opportunities for growth • Drive high release quality and cadence by completing code reviews, ensuring end-to-end tests are written, and sustainable yet pragmatic development practices are followed • Strategically contribute technically - write important design docs, tackle particularly intricate components / features or services, jumping in as an individual contributor when appropriate