Staff Data Engineer - Dutchie

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 This Job

We are seeking an experienced and visionary Staff Data Engineer to play a pivotal role in shaping our data strategy, architecture, and infrastructure. This individual will serve as a technical and thought leader, leveraging deep expertise to design and implement cutting-edge data solutions. The ideal candidate will possess extensive experience with modern data engineering tools and platforms, databases, cloud technologies, and observability systems. We are looking for someone who not only excels in building robust data systems, but will also drive innovation by discovering new ways to leverage data to enhance customer experiences and power smarter business decisions.

What You'll Do...

Technical leadership:

Lead the design and implementation of scalable, reliable, and secure data architectures and pipelines.
Establish best practices and frameworks for data engineering, ensuring performance, scalability, and maintainability.
Mentor and collaborate with team members, fostering growth and innovation.
Help guide and lead more junior engineers to deliver on key outcomes for the team.

Data Infrastructure Development:

Build and optimize ETL/ELT pipelines using tools such as Fivetran and Dagster.
Architect, deploy, and manage data warehouses and lakes, with a focus on Snowflake.
Leverage Infrastructure-as-Code (e.g., Pulumi) to automate the provisioning and management of resources.
Deploy and run data services in Kubernetes for scalability and efficiency.

Data Management and Modeling:

Design and maintain data models across various database technologies, including SQL Server, PostgreSQL, MongoDB, and AWS RDS.
Develop advanced data models to support business intelligence and analytics needs.
Optimize database performance and ensure robust data governance practices.

Cloud Expertise:

Design and implement cloud-native solutions in AWS
Optimize cost, performance, and scalability of cloud infrastructure.

Observability and Monitoring:

Set up and maintain observability platforms (e.g., Datadog) to monitor data workflows, system health, and performance metrics.
Establish robust logging, alerting, and dashboard systems for proactive issue resolution.

Innovation and Strategy:

Stay ahead of industry trends, introducing new tools and methodologies to improve data engineering practices.
Collaborate with stakeholders to align technical strategies with business objectives.

Soft Skills:

Exceptional problem-solving abilities and analytical thinking.
Excellent communication skills, with the ability to convey technical concepts to diverse audiences.
Strong collaboration and leadership skills, with a focus on driving team success.

What You Bring...

8+ years of hands-on experience in data engineering or a related field.
Expertise in modern data tools and platforms, including Snowflake, Fivetran, and Dagster.
Strong proficiency with database technologies: SQL Server, PostgreSQL, MongoDB, and AWS RDS.
Advanced knowledge of AWS cloud services, including data-centric solutions.
Proficiency in Infrastructure-as-Code (e.g., Pulumi) and container orchestration tools like Kubernetes.
Extensive experience in data modeling, schema design, and database optimization.
Familiarity with observability tools such as Datadog, Grafana, or Prometheus.
Proficiency in programming languages such as Python or Scala for data engineering tasks and C# or Ruby for application development.

It's a bonus if you...

Experience with additional cloud platforms such as Azure or GCP.
Knowledge of distributed systems and big data technologies.
Familiarity with CI/CD pipelines and version control systems.
Experience leading small-medium sized development teams

You’ll Get…

We are targeting a starting salary of $190,000 based on the intended level for this role. There may be flexibility on individual compensation packages based candidate skill set, experience, qualifications and other position-related factors.

In addition to cash compensation, our total rewards package includes:

Full medical benefits including dental and vision plans to ensure you always have the best care.
Equity packages in the form of stock options to all employees.
Technology (hardware, software, reading materials, etc..) allowance
Flexible vacation and sick days

#LI-AH1

At Dutchie, we’re committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Dutchie believes that diversity and inclusion among our teammates is critical to our success, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

Last updated: 16 hours ago

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