Senior Data Engineer

• Build and maintain trusted internal data products supporting analytics, AI, and operational workflows across Granum
• Design and operate scalable data pipelines and platform workflows using Snowflake, dbt, Fivetran, Terraform, and related tooling
• Improve data quality, validation, observability, and recoverability across critical datasets and workflows
• Own semantic consistency across upstream models, downstream consumption layers, and governed business definitions
• Design and implement governance controls including permissions, masking, privacy-aware access patterns, and operational guardrails
• Partner with product, engineering, and business stakeholders to turn ambiguous data needs into reliable internal platform capabilities
• Drive platform improvements through automation, cleaner workflow design, and stronger operating patterns
• Contribute technical direction for internal data platform work and raise the quality bar for data systems
• Adopt and contribute to agentic workflows as part of standard engineering practice

• Strong experience building and operating data platforms in Snowflake-centric environments
• Strong experience with dbt or a comparable transformation framework
• Hands-on experience with Terraform or similar infrastructure-as-code tooling
• Hands-on experience with a governed semantic or BI modeling layer (Omni, LookML, dbt Semantic Layer, or similar)
• Experience designing reliable workflows for ingestion, transformation, validation, and scheduled operational processes, including CI/CD in Git Hub
• Strong SQL skills and a track record of building trusted datasets
• Demonstrated ownership of production-grade data systems, including monitoring, troubleshooting, and incident follow-through
• Ability to communicate clearly, drive decisions, and take ambiguous work through to a complete outcome
• Willingness and ability to work within a team where agentic development is expected
• Candidates must have proper work authorization to work for any employer in Canada or the U.S., without sponsorship
• Nice to have:
  Experience with Azure Data Factory, Airflow, or similar orchestration tools
• Nice to have:
  Experience with Omni or similar governed analytics platforms
• Nice to have:
  Experience supporting AI-enabled workflows, internal tooling, or knowledge-driven applications
• Nice to have:
  Experience with privacy, access control, and governance patterns in modern cloud data platforms
• Nice to have:
  Experience working across multiple data domains or products with shared platform standards

Demonstrates expertise in building and operating data platforms, particularly in Snowflake environments, while ensuring data quality, governance, and operational efficiency. Proficient in designing scalable data pipelines and workflows, with a strong focus on collaboration and clear communication with stakeholders.

• Snowflake Data Platform Development
• Dbt Transformation Framework
• Terraform Infrastructure-as-Code
• SQL Dataset Management
• Data Governance and Compliance

• Data Pipeline Design
• Data Quality Improvement
• Semantic Layer Modeling
• CI/CD in Git Hub
• Data Validation Techniques
• Operational Workflow Design
• Monitoring and Troubleshooting
• Incident Management
• Automation of Data Processes
• Data Ingestion Techniques

• Clear Communication
• Decision-Making
• Team Collaboration
• Problem-Solving
• Adaptability

• Data Governance
• Privacy-Aware Access Patterns
• Operational Guardrails
• AI-Enabled Workflows
• Cloud Data Platforms

• Fivetran
• Azure Data Factory
• Airflow
• LookML
• Omni
• Agentic Workflows