Spécialiste IA agentique chez Maplr, développant agents, pipelines LLM et systèmes RAG pour les télécommunications et médias québécois. Travail hybride à Montréal.
About the role
- Ingénieur principal de données dirigeant l’équipe et l’architecture lakehouse de Trolley. Fiabilisation des paiements, rapports financiers et produits de données alimentés par l’IA.
Responsibilities
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Engineer building certified GTM data pipelines for ZoomInfo, an AI - powered B2B sales and marketing intelligence platform. Enabling strategy, forecasting, and AI - agent analytics.
Senior data engineering advisor overseeing strategic data platforms, pipelines, algorithms, and data management initiatives. Advising Desjardins stakeholders on complex engineering and business decisions.
Staff Data Engineer defining scalable data architecture for Coalition’s active cyber insurance and cybersecurity platform. Building trusted pipelines, analytics models, and AI/ML data infrastructure.
Senior data scientists and engineers designing evaluation tasks and training frontier AI models. Remote contract work with Mercor and leading AI research labs.
Senior data science and engineering experts designing evaluations and pipelines for Mercor’s frontier AI projects. Applying rigorous judgment to train and assess advanced AI models.
Senior data science and engineering experts designing evaluations and pipelines to train frontier AI models. Mercor partners with leading AI labs and enterprises using human expertise.
Senior data science and engineering experts designing evaluation tasks and training frontier AI models. Mercor partners with leading AI labs and enterprises using human expertise.
Lead Trolley’s data platform, pipelines, and data team. Power finance, fraud, reporting, and AI for the internet economy payouts platform.
Lead Data Engineer owning Trolley’s Databricks data platform for its global internet - payouts infrastructure. Leading data engineering, finance reporting, customer data products, and AI foundations.