Lead Data Engineer

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

📋 Description

• Oversee, mentor, and develop the data engineering team members.

• Establish standards for code reviews, testing, documentation, and on-call data support.

• Collaborate with Engineering, Finance, and Product to plan team tasks.

• Contribute to the growth and development of the team, including recruitment when necessary.

• Take full ownership of the Databricks lakehouse, encompassing ingestion, modeling, quality, and cost management.

• Construct and operate data pipelines from production platforms, Salesforce, NetSuite, and other third-party sources.

• Ensure accurate, rapid, and self-service internal reporting through Sigma.

• Enhance the observability and recoverability of pipelines.

• Execute data processes that support month-end closing, revenue calculations, and vendor cost reconciliation.

• Assist with audits and year-end reconciliations.

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

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

• Establish data foundations for the secure utilization by AI tools and agents.

• Leverage AI to accelerate the development, testing, and documentation of pipelines.

• Identify opportunities for product and team enhancements using data and AI insights.

• Integrate Jira and GitHub data into the warehouse to evaluate engineering delivery.

• Implement data management and privacy policies.

• Work alongside InfoSec and Compliance to address access, retention, and auditing requirements.

⛳️ Requirements

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

• Proven experience in leading engineering teams: managing, mentoring, or guiding a small group daily.

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

• Background in building reliable data pipelines from operational databases and SaaS solutions.

• Experience in supporting finance or accounting functions with data.

• Practical use of AI tools in engineering tasks, along with an understanding of AI's benefits and limitations.

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

• Preferred: Formal people management experience, and a desire to develop a team over time.

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

• Preferred: Involvement with customer-facing data products, embedded analytics, or data sharing initiatives.

• Preferred: Experience in creating context layers, retrieval systems, or data pipelines for AI agents.

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

🏝️ Benefits

• Competitive salary.

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

• Comprehensive healthcare benefits starting from Day 1.

• 4 weeks of paid vacation annually plus public holidays (+ 1 additional vacation day for each year of service).

• 30 days of remote work flexibility from any location.

• Gym membership reimbursement.

• Half-day Fridays off during the summer months.

• Company-provided Apple MacBook and related equipment.

• A diverse team united in a common mission.