Engineering Manager (Data)

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 engineersThis 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 workOversee 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 processesPropel the business and engineering org forward by leading high-impact transformational projects end-to-end in an iterative, data-driven, startup environmentShape the technical roadmap for the team, contribute to product roadmap and OKR discussions, and drive the engineering agile processes for the teamContribute 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 growthDrive high release quality and cadence by completing code reviews, ensuring end-to-end tests are written, and sustainable yet pragmatic development practices are followedStrategically contribute technically - write important design docs, tackle particularly intricate components / features or services, jumping in as an individual contributor when appropriateBenefits
Competitive base salaryYearly learning & development allowanceGenerous equity optionsBi-annual performance & compensation reviewsRRSP & 401k employee contribution planHealth, dental, & vision insurance on day oneParental leave programsWellness reimbursementSupplemental Life InsuranceUnlimited PTO (yes, really!)Recharge days throughout the yearWork-from-home allowancePermanent remote flexibilityOffice in TorontoEvidence of designing and implementing logical, well-architected solutions for complex, large-scale data engineering challengesClear communication with both accountants and engineersExperience owning financial data that Accounting depends on: GL feeds, month-end close, reconciliation, audit support, payment processing5+ years experience as a data or analytics engineer and at least 2 year experience as a people leaderA track record of turning ambiguous stakeholder requests into scoped, estimated plans, and pushing back when capacity is short5+ years building production data pipelines and warehouse models, with strong SQL and working dbt proficiency. You can review a model and catch grain, fan-out and testing gapsDeep experience in database design & warehouse data modeling, scheduling & orchestration
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