{"id":1536498,"url":"https://alion.io/job/trolley-lead-data-engineer","title":"Lead Data Engineer","company":{"id":32783,"name":"Trolley","domain":"trolley.ai","url":"https://alion.io/company/trolley","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":80,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Halifax, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":194000,"period":"year","method":"role_seniority_country_cell","sample_n":19},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Databricks","optional":false},{"name":"GitHub","optional":false},{"name":"Jira","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Canva","optional":true},{"name":"GDPR","optional":true}],"status":"live","first_seen_at":"2026-09-30T18:56:15Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T05:00:37Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Lead Data Engineer\nLocation: Remote within Quebec, Ontario, or Nova Scotia, Canada\nReports to: CTO\nUse of AI in our hiring process\nTrolley uses AI-assisted tools to help support certain aspects of our recruitment process, including screening and assessing applications against the qualifications and requirements of a role. These tools are designed to support our Talent Acquisition team and improve the efficiency and consistency of our hiring process. AI does not make final hiring decisions. All hiring decisions involve human review and judgment.\nAbout us\nTrolley is the payouts platform for the internet economy. Our mission is to unlock the global economic opportunity of the internet by building a truly borderless payouts ecosystem.\nThrough our platform and API, Trolley enables businesses to pay people anywhere in the world, supporting creators, on demand workers, and suppliers at scale. Companies rely on Trolley as mission-critical infrastructure to automate payouts, collect tax and banking information, and reduce fraud and risk, all in one place.\nToday, Trolley is the trusted payouts solution for hundreds of businesses, including Canva, Soundcloud, and Envato. We've processed millions of payments globally, helping creators, artists, and suppliers get paid quickly, securely, and with confidence.\nAs Trolley enters its next stage of growth, we're investing heavily in AI to accelerate product innovation, improve operational efficiency, and transform how software is built across the company.\nThe Opportunity\nData sits under everything Trolley does: the finance close, the reporting our customers see, and the fraud signals that keep payouts safe. We're looking for a Lead Data Engineer to own that platform, lead our data team, and help us put data to work with AI.\nThis is a player-coach role. Most of your time is hands-on: keeping the pipelines, warehouse and reporting the business runs on healthy and trusted, and finding where data and AI can make our product better and our people faster. You'll also manage and develop one data engineer today, with room to grow the team and your leadership as Trolley's data needs grow.\nWhat You'll Do\nLead the data team\nManage, coach and develop the data engineer on your team, with regular one to ones and clear goals.\nSet the standards for how we build: code review, testing, documentation and on-call for data.\nPlan the team's work with Engineering, Finance and Product, and work collaboratively when priorities shift.\nHelp shape the team as it grows, including hiring if and when the time comes.\nOwn Trolley's data platform\nOwn our Databricks lakehouse end to end: ingestion, modelling, quality and cost.\nBuild and run pipelines from our production platform, Salesforce, NetSuite and third-party sources.\nKeep internal reporting in Sigma accurate, fast and self-serve.\nMake pipelines observable and recoverable, so failures are loud, owned and quick to fix.\nPartner with Finance\nRun the data behind month-end close, revenue calculations and vendor cost reconciliation.\nWork with Finance so they own the definitions and we own the pipeline.\nSupport audits and year-end reconciliation with data people can trust.\nBuild data into the product\nBuild and improve customer-facing data products, including our data connector and embedded reporting.\nWork with Engineering and Product on data features like fraud and risk signals.\nPut data to work with AI\nBuild the data foundations that let AI tools and agents work safely with Trolley's context: engineering, operational and business data, with the right guardrails.\nUse AI in your own work to build, test and document pipelines faster.\nFind where data and AI can improve the product and how our teams work, and make the case with evidence.\nHelp us measure engineering delivery by bringing tools like Jira and GitHub into the warehouse.\nKeep data safe\nApply Trolley's data management and privacy policies in everything you build, including what data may and may not reach AI tools.\nPartner with InfoSec and Compliance on access, retention and audit requirements.\nWhat We're Looking For\nRequired Experience\n7+ years in data engineering, with ownership of a production data platform.\nExperience leading other engineers: managing, mentoring or leading a small team day to day.\nDeep experience with Databricks or a similar lakehouse, SQL, and Python.\nExperience building reliable pipelines from operational databases and SaaS systems.\nExperience supporting finance or accounting processes with data.\nHands-on use of AI tools in your own engineering work, and clear thinking about where AI helps and where it doesn't.\nComfortable as the most senior data person in the company, with a lot of autonomy.\nPreferred Experience\nFormal people management, and interest in growing a team over time.\nFintech, payments or other regulated environments.\nCustomer-facing data products, embedded analytics or data sharing.\nBuilding context layers, retrieval or data pipelines for AI agents.\nData governance and privacy in practice: PII handling, access control, GDPR.\nThis job posting is for an existing vacancy. \nWhat we offer\nJoin an amazing team of diverse people working together on a common mission.\nCompetitive salary\nESOP Program: Meaningful equity and ownership that aligns your success with ours\nExtended healthcare benefits from Day 1.\n4 weeks paid vacation per year + public holidays (+ 1 extra vacation day per year of service).\n30 days remote work from anywhere.\nGym membership allowance.\n1/2 day Fridays off during summer.\nCompany-provided use of Apple MacBook and Mac gear.","description_format":"text","description_chars":5577,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Apple Macbook","Equity","Gym membership"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-30T19:02:07Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":80,"reasons":["conf:0","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/trolley-lead-data-engineer","json_url":"https://alion.io/job/trolley-lead-data-engineer.json","meta":{"generated_at":"2026-10-01T09:52:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":703,"day_limit":5000,"remaining_today":4297,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}