Staff Product Analytics Engineer

About Dutchie

Founded in 2017, Dutchie is a comprehensive technology platform powering dispensary operations, while providing consumers with safe and easy access to cannabis. Dutchie aims to further support the positive societal change the cannabis industry brings to the world through wellness benefits, social justice, and empowering local communities through tax revenue. Powering thousands of dispensaries across 40+ markets throughout the United States and Canada, Dutchie is the leading technology company in the cannabis space and was named in Fast Company’s 10 Most Innovative Companies in North America and listed two years in a row on LinkedIn’s Top 50 Startups. Dutchie has raised over $600M in funding to date, backed by D1 Capital Partners, Tiger Global, Dragoneer, DFJ Growth, Thrive Capital, Howard Schultz, Snoop Dogg’s Casa Verde Capital, Gron Ventures, members of the founding team at DoorDash, Kevin Durant’s Thirty Five Ventures, and other notable angel investors.

About the Role

We are seeking an experienced and visionary Staff Engineer to play a pivotal role in shaping our reporting strategy, analytics architecture, and customer-facing data experiences. This individual will serve as a technical and thought leader, leveraging deep expertise to design and implement cutting-edge reporting solutions that make the best use of our data platform. The ideal candidate will possess extensive experience with modern analytics tools, application development, and data visualization technologies, with a strong understanding of underlying data infrastructure. We are looking for someone who not only excels in building robust reporting applications, but will also drive innovation by discovering new ways to transform data into actionable insights that enhance customer experiences and power smarter business decisions. You'll partner closely with Data Engineering to help build trusted, performant and scalable reporting products while focusing on the application layer that brings our data to life for users.

What You’ll Do

Technical Leadership

• Lead the design and implementation of scalable, reliable, and performant reporting applications and analytics solutions.
• Establish best practices and frameworks for application development, data visualization, and analytics engineering, ensuring performance, scalability, and maintainability.
• Mentor and collaborate with team members, fostering growth and innovation in both technical and analytical skills.
• Help guide and lead more junior engineers to deliver on key outcomes for the team.

Application Development

• Build and optimize customer-facing reporting applications using .NET C# and React.
• Architect responsive, intuitive user interfaces that make complex data accessible and actionable.
• Develop robust APIs and backend services to power reporting functionality.
• Ensure application performance, security, and scalability across the full stack.

Analytics Engineering

• Design and implement data transformations and models using DBT to support reporting needs.
• Build efficient SQL queries and stored procedures to extract insights from large datasets.
• Collaborate with Data Engineering to optimize data pipelines for reporting use cases.
• Create and maintain data marts and analytical models in Snowflake.

Data Visualization and Business Intelligence

• Develop compelling dashboards and reports using Looker and custom visualization solutions.
• Partner with stakeholders to translate business requirements into technical reporting solutions.
• Design self-service analytics capabilities that empower users to explore data independently.
• Establish data storytelling best practices across the organization.

Cloud and Infrastructure Understanding

• Leverage AWS services to build and deploy reporting applications at scale.
• Collaborate with infrastructure teams to ensure optimal performance and cost efficiency.
• Implement monitoring and observability for reporting applications and data workflows.