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
- 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.
Responsibilities
- Define the architecture and technical direction of the enterprise Data & Analytics platform
- Build trusted, scalable data infrastructure for cyber security, insurance exposure analytics, BI, actuarial workflows, and AI/ML products
- Set architecture and engineering standards for Snowflake, dbt, orchestration, streaming, batch ELT, and infrastructure-as-code
- Design governed Medallion pipelines and domain-oriented data models
- Build reusable data products, contracts, feature stores, and semantic models for BI, actuarial, AI/ML, and operational consumers
- Establish observability, quality, lineage, security, and incident-management practices
- Develop platform foundations for feature engineering, embeddings, vector search, and retrieval-augmented AI applications
- Partner with engineering, product, underwriting, actuarial, security, and business teams to align architecture with outcomes
Requirements
- 9–12 years of experience building and operating production data platforms, with a track record of owning architecture for complex or high-scale systems
- Deep expertise in Snowflake and dbt, including performance optimization, incremental processing, warehouse cost management, testing, and deployment practices
- Strong programming and data modeling skills in Python and analytical SQL, with experience designing dimensional models and/or Data Vault 2.0 architectures
- Experience building reliable batch and streaming pipelines with modern orchestration and ingestion technologies such as Airflow, Dagster, Prefect, Kafka, Kinesis, Snowpipe Streaming, or Dynamic Tables
- Experience establishing data products, data contracts, domain ownership, SLAs, access controls, lineage, and quality standards across multiple teams
- Experience building feature engineering infrastructure or AI data systems, including feature stores, embeddings, vector search, or RAG pipelines
- Production experience with Looker and LookML, including governed semantic models and centralized metrics for self-service analytics
- Experience influencing architecture across teams, mentoring engineers, communicating tradeoffs, and creating durable engineering standards
- Bonus: Experience modeling insurance domains such as underwriting, claims, reinsurance, policy exposure, loss runs, or loss triangles
- Bonus: Familiarity with Snowflake Cortex, Feast, DataHub, Atlan, OpenLineage, Elementary, dbt-expectations, or Evidently AI
- Bonus: Experience implementing RBAC hierarchies, row-level policies, column masking, PII tokenization, audit logging, or regulated-data controls
- Bonus: Experience managing Snowflake environments with Terraform and CI/CD tools such as GitHub Actions
- Bonus: Experience using AI-assisted development tools such as Cursor or GitHub Copilot
- The posting states that pay may reflect relevant education, skills, qualifications, work experience, and credentials
Benefits
- 100% medical, dental, and vision coverage
- Flexible PTO
- Annual home office stipend and WeWork access
- Mental & physical health wellness programs like Headspace, Lumino, and more!
- Competitive compensation and opportunity for advancement
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