Lead Data Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Oversee, mentor, and develop the data engineers within your team through regular one-on-ones and defined objectives.

• Establish benchmarks for code reviews, testing protocols, documentation standards, and data on-call practices.

• Coordinate the team's initiatives alongside Engineering, Finance, and Product departments.

• Contribute to the team's evolution as it expands, including the potential for recruitment when necessary.

• Take full ownership of Trolley's Databricks lakehouse, encompassing ingestion, modeling, quality assurance, and cost management.

• Construct and maintain data pipelines from the production platform, Salesforce, NetSuite, and various third-party sources.

• Ensure internal reporting in Sigma is accurate, efficient, and accessible for self-service.

• Enhance the observability and recoverability of data pipelines.

• Manage data processes related to month-end closes, revenue computations, and vendor cost reconciliations.

• Assist with audits and year-end reconciliations using reliable data.

• Design and enhance customer-facing data products, including data connectors and embedded reporting features.

• Collaborate with Engineering and Product teams on fraud detection and risk signal functionalities.

• Establish data foundations to support secure AI tools and agents.

• Leverage AI to expedite the building, testing, and documentation of data pipelines.

• Recognize and showcase product and workflow enhancements driven by data and AI.

• Integrate tools such as Jira and GitHub into the warehouse to monitor engineering productivity.

• Implement data management and privacy regulations in collaboration with InfoSec and Compliance regarding access, retention, and audit requirements.

⛳️ Requirements

• Over 7 years of experience in data engineering, with responsibility for a production data platform.

• Proven experience in leading other engineers: managing, mentoring, or overseeing a small team on a daily basis.

• Extensive expertise with Databricks or a comparable lakehouse, SQL, and Python.

• Background in constructing dependable pipelines from operational databases and SaaS platforms.

• Experience supporting finance or accounting operations with data.

• Practical use of AI tools in your engineering projects, along with a clear understanding of the benefits and limitations of AI.

• Comfortable being the most senior data professional in the organization, with significant autonomy.

• Formal experience in people management and a desire to develop a team over time.

• Experience in fintech, payments, or other regulated sectors.

• Familiarity with customer-facing data products, embedded analytics, or data sharing mechanisms.

• Experience in building context layers, retrieval systems, or data pipelines for AI agents.

• Practical knowledge of data governance and privacy, including handling PII, access control, and GDPR compliance.

🏝️ Benefits

• Competitive salary

• ESOP Program: Meaningful equity and ownership that aligns your success with ours

• Extended healthcare benefits from Day 1.

• 4 weeks paid vacation per year + public holidays (+ 1 extra vacation day per year of service).

• 30 days remote work from anywhere.

• Gym membership allowance.

• 1/2 day Fridays off during summer.

• Company-provided use of Apple MacBook and Mac gear.