Data Platform Engineer

ROGUE GROWN, LLC
Medford, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 110K

Job location

Medford, United States of America

Tech stack

Sql Data Warehouse
Data analysis
Azure
Cloud Database
Computer Security
Databases
Information Engineering
Data Infrastructure
Data Warehousing
Database Queries
Disaster Recovery
Document-Oriented Databases
Identity and Access Management
Information Technology Operations
Key Management
Performance Tuning
Power BI
SharePoint
SQL Stored Procedures
Virtual Machines
Data Processing
Scripting (Bash/Python/Go/Ruby)
Azure
Snowflake
Software Security
Build Management
Microsoft Fabric
CIS Benchmarks
Xero (Accounting Software)
Data Pipelines
Azure
Key Vault

Job description

Gown Rogueis a craft cannabis company that has and continues to grow rapidly since 2016. We are a publicly traded, multi-state operator that files in accordance with U.S. GAAP financial statements with the SEC as a domestic filer (Forms 10-K and 10-Q), while maintaining our reporting obligations in Canada. Our consolidated group spans the states where we operate - Oregon, New Jersey, and Michigan, with Minnesota and Illinois launching in 2026 - several with active cannabis operations and some carrying minority interests., Grown Rogue is seeking a highly motivated and versatile individual to join our team as a Data Platform Engineer This hybrid role combines responsibilities in IT support, financial analysis, light accounting work, and data engineering. The ideal candidate will have a strong technical background, excellent analytical skills, and a keen eye for detail. They will be responsible for ensuring smooth IT operations, managing and analyzing data, and supporting the finance department with basic accounting tasks., Data Platform Engineering

  • Design and build data pipelines using Microsoft Fabric and Azure Data Factory, connecting source systems to our cloud data warehouse
  • Own the data warehouse layer: design tables, views, and semantic models optimized for Power BI consumption and built for growth
  • Build and maintain integrations with source systems: Xero, METRC, and SharePoint
  • Connect to and query Snowflake-hosted source data, integrating it into Fabric pipelines as access becomes available
  • Implement Direct Lake connectivity where applicable to reduce import refresh dependencies in Power BI
  • Monitor pipeline health and data freshness; diagnose and resolve failures promptly
  • Document data models, pipeline architecture, and transformation logic

Azure Infrastructure & Cost Management

  • Manage and right-size Azure resources: virtual machines, managed database services, App Registrations, storage accounts, and Fabric capacity
  • Monitor monthly Azure and Fabric spending; implement cost controls including reserved capacity, auto-shutdown, and resource tagging
  • Maintain Azure App Registrations and service principals used by integration workflows
  • Maintain data backup and recovery procedures for cloud databases and storage
  • Plan and execute infrastructure changes in coordination with business needs and budget targets
  • Maintain Azure tenant hygiene: naming conventions, access reviews, and subscription governance

Cybersecurity

  • Secure the Azure environment through identity and access controls: MFA, conditional access, and privileged identity management across Azure and EntraID
  • Conduct periodic access reviews for Azure resources, database users, and service principals
  • Manage secrets rotation for service accounts and automated integration credentials, using Azure Key Vault
  • Monitor Azure security alerts and remediate misconfigurations; the MSP owns email and endpoint and software security

Requirements

Required

  • 3+ years in a data engineering or data platform role
  • Hands-on experience with Microsoft Fabric: Lakehouses, Data Pipelines, Dataflows Gen2, and/or Direct Lake semantic models
  • Strong SQL skills: data modeling, views, stored procedures, multi-table joins, and performance tuning
  • Experience designing data warehouse layers for Power BI consumption
  • Working knowledge of Microsoft Azure: resource management, cost monitoring, and identity and access security
  • Ability to gather requirements from non-technical stakeholders and translate them into data and infrastructure designs
  • Comfort with high ownership in a lean, fast-moving environment

Preferred

  • Experience connecting Fabric or ADF pipelines to cloud-hosted data sources such as Snowflake
  • Familiarity with Power BI semantic model development (DAX, relationships, calculation groups)
  • Python scripting for API integration and data processing
  • Familiarity with cannabis compliance systems (METRC or BioTrack)
  • Experience with Azure cost management and capacity planning: reserved capacity, Fabric capacity sizing, and resource tagging
  • ·Experience securing Azure environments: conditional access, privileged identity management, and Key Vault
  • Exposure to cybersecurity frameworks such as NIST CSF or CIS Controls

Physical demand and work environment

  • This job is conducted in an office work environment, sitting most of the time.
  • Approximately 90% of this position's duties require use of a computer.
  • Must be able to exert up to 20 lbs. of force occasionally., * Bachelor's (Preferred), * Data Engineering : 3 years (Required)

Benefits & conditions

2.42.4 out of 5 stars Medford, OR Hybrid work $90,000 - $110,000 a year - Full-time, Pulled from the full job description

  • Parental leave
  • 401(k)
  • Health insurance
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Life insurance, * 401(k)
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Parental leave
  • Vision insurance

Physical Setting:

  • Office

About the company

We are an Equal Opportunity Employer. Grown Rogue values diversity and inclusivity, welcoming applicants of all backgrounds. We're proud to be an equal opportunity employer where every voice counts, and together, we shape a future where every connection

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