Lead Data Engineer

Trolley

. Manage, support, and foster the development of the team’s data engineer through regular one-on-one meetings and clear objectives .

Posted 11/4/2026full-timeRemote • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing data engineering teams and overseeing the end-to-end architecture of Databricks lakehouse solutions. Proficient in designing reliable data pipelines, applying data governance, and leveraging AI tools to enhance data products and processes.

Highest-signal resume keywords

Data Engineering LeadershipDatabricks Lakehouse ArchitectureSQL and Python ProficiencyAI Tools ApplicationData Governance and Privacy

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Hard Skills

Data EngineeringPipeline DesignSQLPythonDatabricksData Quality ManagementData ModelingData GovernanceAI IntegrationEmbedded Analytics

Soft Skills

Team DevelopmentMentoringSelf-DirectionCollaborationCommunication

Tools & Technologies

SalesforceNetSuiteJiraGitHubSigma Reports

Industry Keywords

FintechPaymentsRegulated EnvironmentsGDPR ComplianceData Privacy

Tech Stack

Tools & technologies

PythonSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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