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AppDirect is seeking a Senior Data Engineer to join its Data Knowledge team in Montreal. The role focuses on designing, building, and improving the data lake platform to provide reliable, governed data to analytics and product teams across the organization.
Key responsibilities include:
**Platform Architecture & Modeling**: Design and enhance the data lake platform using Snowflake, dbt, and Databricks. Build reusable models and pipelines that serve analytics and product teams with reliable, governed data.
**Requirements Analysis & Stakeholder Collaboration**: Translate product and business requirements into data models and pipelines in partnership with product managers, business units, and engineers. Ensure domain logic is correctly deployed to production.
**Pipeline Modernization**: Migrate existing ETL processes to modern, performant streaming and incremental pipelines using Snowflake or Databricks as appropriate.
**Snowflake Performance & Cost Optimization**: Optimize Snowflake for reliability and efficiency through warehouse sizing, clustering/partitioning strategies, and credit spend visibility to prevent cost overruns.
**AI-Assisted Operations**: Leverage AI development tools and specification-based workflows to design, automate, and deploy data pipelines and platform infrastructure.
**Self-Service Enablement**: Facilitate data integration and empower operational unit engineers to build their own data products on the platform.
**Customer-Facing Data Products**: Design and evolve data powering customer-facing products, including reporting and analytics services, ensuring pipelines and models deliver reliable product experiences.
**Data Quality & Reliability**: Ensure data quality through robust data governance, automated testing, validation techniques, and data lineage tracking.
**Metadata Management**: Maintain rich metadata in Unity Catalog and Snowflake to support downstream applications, including AI agents and the semantic layer (Cube.dev).
**Research & Innovation**: Solve complex problems and develop proofs of concept to evaluate emerging technologies.
**Documentation & Culture**: Write and maintain high-quality documentation to facilitate knowledge sharing and AI-assisted workflows.
The ideal candidate brings a "data as a product" mindset and experience designing production-grade, reusable data pipelines. You'll work cross-functionally with engineering and product teams to establish clear data contracts and scalable data models.
