About the role

Senior Data Engineer building trusted Snowflake data products for Granum’s landscaper and arborist software ecosystem. Operating governed pipelines that power analytics, AI, and operational decisions.

Responsibilities

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 GitHub
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

Comprehensive medical, dental, and vision coverage with multiple plan options for U.S. employees
HSA/FSA accounts
Disability and life insurance
Employer-funded HSA-based benefits plan with drug, dental, and mental health coverage for Canada employees
401(k) matching for U.S. employees
RRSP matching for Canada employees
Tailored career development conversations
Support for tools, courses, and resources
Unlimited Paid Time Off
Paid company holidays
Company-wide winter break from December 24 to January 1