Senior Data Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Develop and sustain trusted internal data products that facilitate analytics, AI, and operational workflows throughout Granum.

• Create and manage scalable data pipelines and platform workflows utilizing Snowflake, dbt, Fivetran, Terraform, and associated tools.

• Enhance data quality, validation, observability, and recoverability for essential datasets and workflows.

• Ensure semantic consistency across upstream models, downstream consumption layers, and governed business definitions.

• Design and execute governance controls, including permissions, masking, privacy-aware access patterns, and operational safeguards.

• Collaborate with product, engineering, and business stakeholders to transform unclear data requirements into dependable internal platform capabilities.

• Propel platform enhancements through automation, improved workflow design, and more robust operating practices.

• Provide technical guidance for internal data platform initiatives and elevate the quality standards for data systems.

• Embrace and contribute to agentic workflows as an integral part of standard engineering practices.

⛳️ Requirements

• Proven experience in building and managing data platforms within Snowflake-centric environments.

• Strong proficiency with dbt or a similar transformation framework.

• Practical experience with Terraform or equivalent infrastructure-as-code tools.

• Direct experience with a governed semantic or BI modeling layer (Omni, LookML, dbt Semantic Layer, or comparable).

• Experience in designing reliable workflows for data ingestion, transformation, validation, and scheduled operational processes, including CI/CD in GitHub.

• Strong SQL abilities and a history of creating trusted datasets.

• Demonstrated ownership of production-grade data systems, encompassing monitoring, troubleshooting, and incident management.

• Capability to communicate effectively, influence decisions, and navigate ambiguous tasks to achieve completed outcomes.

• Willingness and capacity to collaborate within a team environment where agentic development is anticipated.

• Candidates must possess valid work authorization to be employed by any organization in Canada or the U.S. without sponsorship.

• Nice to have: Familiarity with Azure Data Factory, Airflow, or similar orchestration tools.

• Nice to have: Experience with Omni or comparable governed analytics platforms.

• Nice to have: Experience in supporting AI-driven workflows, internal tools, or knowledge-centric applications.

• Nice to have: Experience with privacy, access control, and governance frameworks in contemporary cloud data platforms.

• Nice to have: Experience working across diverse data domains or products with shared platform standards.

🏝️ Benefits

• Comprehensive medical, dental, and vision insurance with a variety of plan options for U.S. employees.

• HSA/FSA accounts.

• Disability and life insurance.

• Employer-funded HSA-based benefits plan, including drug, dental, and mental health coverage for employees in Canada.

• 401(k) matching available for U.S. employees.

• RRSP matching for Canadian employees.

• Customized career development discussions.

• Support for tools, courses, and resources.

• Unlimited Paid Time Off.

• Paid company holidays.

• Company-wide winter break from December 24 to January 1.