Lead Data Engineer

🔥 12 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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Trolley

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🔌 API

Consulting • Logistics • API

Trolley is the payouts platform for the internet economy, formerly known as Payment Rails. Their vision is to unlock the collective economic opportunity of the internet by building a global payouts ecosystem. Through a powerful platform and API, Trolley enables businesses to automate and manage payouts, collect recipient tax and banking information, and mitigate fraud, reaching a vast workforce globally. Trolley simplifies global mass payouts for various sectors including online marketplaces and on-demand platforms, serving over 1. 1 million individuals globally.

📋 Description

• Manage, support, and foster the development of the team’s data engineer through regular one-on-one meetings and clear objectives • Establish the team’s development standards for code reviews, testing, documentation, and on-call support • Plan priorities with the engineering, finance, and product teams • Help define the team structure and participate in hiring • Own the end-to-end Databricks lakehouse architecture, including ingestion, modeling, data quality, and cost management • Design and operate pipelines from the production platform, Salesforce, NetSuite, and third-party sources • Ensure the accuracy, timeliness, and self-service accessibility of Sigma reports • Ensure pipeline observability and recovery • Manage the data supporting month-end close, revenue calculations, and vendor cost reconciliation • Support audits and year-end reconciliations with reliable, verifiable data • Design and improve customer-facing data products, the data connector, and embedded reports • Collaborate on data-driven features, including fraud and risk signals • Establish secure data foundations for AI tools and agents • Use AI to design, test, and document pipelines • Identify and demonstrate opportunities to improve the product and ways of working through data and AI • Integrate Jira and GitHub with the data warehouse to measure engineering delivery effectiveness • Apply data governance and privacy policies • Collaborate with information security and compliance on access, data retention, and audits

🎯 Requirements

• 7+ years of experience in data engineering, with direct responsibility for a production data platform • Leadership experience with other engineers, whether through management, mentoring, or day-to-day leadership of a small team • Strong experience with Databricks or a comparable lakehouse platform, as well as SQL and Python • Experience designing reliable pipelines from operational databases and SaaS systems • Experience supporting financial or accounting processes with data • Hands-on experience using AI tools in your engineering work • Strong understanding of where AI delivers real value and where it does not • Highly self-directed, with the ability to act as the company’s most senior data specialist • Formal people-management experience and an interest in developing a team over time are preferred • Experience in fintech, payments, or other regulated environments is preferred • Experience with customer-facing data products, embedded analytics, or data sharing is preferred • Experience building context layers, information retrieval systems, or data pipelines for AI agents is preferred • Hands-on experience with data governance and privacy, including the handling of personal information, access controls, and GDPR compliance, is preferred

🏖️ Benefits

• Employee Stock Option Plan (ESOP): meaningful ownership in the company, aligning your success with ours • Group benefits coverage starting on your first day • Four weeks of paid vacation per year, in addition to statutory holidays, plus one additional vacation day for each year of service • 30 workdays of remote work from a location of your choice • Fitness and wellness allowance • Summer Friday afternoons off during July and August • Company-provided Apple MacBook and Mac equipment • Competitive salary • An exceptional, diverse team working toward a shared mission

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