Senior Data Engineer

Pour la version française de cette description de poste veuillez consulter le lien suivant / For the French version of this job description please refer to the following link:

• Ingénieur(e) de données sénior

About AppDirect

Become a digital global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product through any channel on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven cultureone that enables you to Be Seen Be Yourself and Do Your Best Work.

About the Data Insights Team

Our mission is to unify data from every business unit into a governed lakehouse and semantic layer powering analytics AI reports data sharing and both internal and customer-facing dashboards.

About You

Were hiring a Senior Data Engineer for Data Insights in Montrealsomeone with a Data as a Product mindset who builds production pipelines and models others can trust and reuse.

Youll build production data products and lakehouse pipelines that power analytics and both internal and customer-facing dashboardspartnering across engineering and product establishing clear data contracts and leaving patterns others can reuse.

What Youll Do and How Youll Make an Impact

• Platform Architecture & Modeling: Design build and evolve the lakehouse data platformreusable models and pipelines on Snowflake dbt with Databricks workloads where they fitso analytics and product teams get reliable governed data products.
• Requirements & Stakeholder Partnership: Translate product and business requirements into data models and pipelinesworking with PMs BUs and engineers so domain logic lands correctly in production.
• Pipeline Modernization: Migrate legacy ETL processes to modern efficient streaming and incremental pipelines choosing Snowflake or Databricks based on fit.
• Snowflake Performance & Cost: Operate and tune Snowflake for reliability and efficiencywarehouse sizing and utilization clustering/partitioning where it pays off and visibility into credit spend so scale doesnt mean runaway cost.
• AI-Assisted Operations: Apply AI-assisted development tools and spec-driven workflows to design automate and ship data pipelines and platform.
• Self-Service Enablement: Facilitate scoped data onboarding and empower business unit engineers to build their own data products on top of our platform.
• Customer-Facing Data Products: Build and evolve data behind customer-facing productsincluding the reporting service and App Insightsso pipelines and models deliver trustworthy product experiences.
• Data Quality & Trust: Ensure data quality by driving and implementing robust data governance automated testing validation techniques and lineage.
• Metadata Management: Curate rich metadata in Unity Catalog and Snowflake to power downstream consumption including AI agents and our semantic layer ().
• Research & Innovation: Research solutions to complex problems and lead proof-of-concepts to evaluate emerging technologies.
• Documentation & Culture: Author and maintain high-quality documentation to support knowledge sharing and AI-assisted workflows.

What were looking for

• AI-Assisted Development: Strong understanding of AI-assisted development workflows with proven hands-on experience using tools such as Cursor Claude OpenCode GitHub Copilot or ChatGPT to improve efficiency automation and code quality.
• Spec-Driven Development: Experience with spec-driven development: turning requirements into clear specs/plans and acceptance criteria then implementing them (including AI-agent-assisted workflows).
• Snowflake Expertise (core skillset): 2 years building and operating production data pipelines and models on Snowflake using SQL Python and dbtshipping reliable ELT/transformations owning quality and performance in production.
• dbt Mastery: 2 years of hands-on experience building modular version-controlled and tested data models using dbt (data build tool) treating transformation as software engineering (Git workflows code review automated tests).
• AWS: 2 years of experience with AWS cloud services.
• Data Governance: A solid understanding of data quality lineage validation techniques and data governance.
• Collaboration & Communication: Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders gather requirements and work effectively in a distributed team.

Preferred / Additional Strengths

• Databricks: Hands-on Databricks experience (workspaces jobs/workflows Spark SQL/PySpark Delta Lake) to contribute to lakehouse work alongside Snowflake.
• Managed Ingestion (Fivetran): Exposure to Fivetran (or similar ELT connectors) for reliable source-to-warehouse ingestion connector governance and schema-evolution handling.
• Semantic Layer (): Exposure to (or a similar semantic/metrics layer) for governed self-serve analytics and consistent metrics across products and consumers.
• Real-Time Streaming: Strong preferred experience building and maintaining real-time data solutions using streaming platforms like Apache Kafka.

At AppDirect we believe that innovation thrives in an environment that houses diversity of excellence experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race religion age sexual orientation or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such we strongly encourage applications from Indigenous peoples racialized people people with disabilities people from gender and sexually diverse communities and/or people with intersectional identities.

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