Lead Engineer, Data Platforms

Dutch Bros Coffee is a fun-loving company that makes a difference one cup at a time. They are seeking a highly experienced Lead Engineer, Data to modernize and optimize their data ecosystem, focusing on building scalable data platforms that support analytics and machine learning workflows.

Responsibilities:

• Assess, design, build, and maintain the data pipelines that enables Dutch Bros teams to collect, store, process, and analyze vast amounts of data efficiently and effectively:
• Seamless Snowflake Implementation: Successfully develop and deploy production-grade data solutions on Snowflake, databricks or similar tools Optimized Data Pipelines: Design and enhance ETL/ELT pipelines and data transformations for efficiency, supporting advanced analytics and real-time data processing with technologies such as Kafka, fivetran, databricks , and Matillion or leveraging pyspark
• High-Quality Data Models: Implement dimensional and data products to improve data accuracy and accessibility, enabling comprehensive ad-hoc analysis, reporting, and visualization
• Advanced Analytics Support: Develop and maintain data engineering frameworks that support machine learning workflows and complex data analyses, ensuring that data is readily available for actionable insights
• Effective Communication and Collaboration: Articulate complex technical concepts clearly to non-technical stakeholders and collaborate effectively with cross-functional teams to drive project success and meet business objectives

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related study, or 4 years of experience, required
• 7+ years of data and/or software engineering experience, with at least 4 years focused on backend distributed systems or data infrastructure at scale
• Deep Engineering Roots: You are an expert coder (Python and SQL) who grew up building software. 4+ years deep Python and SQL experience
• Hands-on expert-level knowledge and experience with Snowflake (Snowpipe, SnowSQL, replication, data-sharing), Airflow, and Power BI for production-grade data solutions
• Mastery of AWS services (IAM, VPC, Glue, S3, SFTP, Lambda, CloudWatch, SNS), Gitlab CI/CD, DataDog Monitoring/alerting
• Real-time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion, and DBT
• Expertise in implementing automated CI/CD pipelines, infrastructure as code, and fostering a unified engineering culture across disciplines
• Familiarity with data privacy regulations knowledge (GDPR, CCPA) and Attribute-based data security
• Strong problem-solving, analytical, and critical-thinking skills with a focus on business insights
• Excellent communication for conveying technical concepts to non-technical stakeholders
• Proven ability to work collaboratively in cross-functional teams
• Adaptable and proactive in learning new technologies in a dynamic data environment
• Strong time management skills to handle multiple projects and ensure high-quality deliverables
• Nice to have - Passion and drive for a POC / designing RAG architecture, vector databases, or integrating LLMs into data pipelines
• Snowflake administration knowledge, preferred
• Knowledge and experience with Data Governance - Data Quality, Metadata management, Data Security, Data Archive is preferred