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Position Overview:
We are seeking a highly experienced and skilled Lead Engineer, Data to join our team. This individual will be responsible for modernizing, integrating, and optimizing Dutch Bro's foundational data ecosystem. This individual will play a crucial role in building world-class data platforms that power analytics, machine learning, and AI-driven workflows and will be responsible for designing and implementing highly scalable and resilient data infrastructure. The ideal candidate will have extensive experience in Snowflake database administration, data modeling, database migration, and is responsible for designing, building, and maintaining data cloud platforms that enable us to collect, store, process, and analyze vast amounts of data efficiently and effectively. This is a great opportunity for someone who thrives in an evolving environment, is eager to learn, and is ready to contribute innovative ideas. If you're humble, hungry, and excited to grow your skills, we'd love to have you join our team!
Job Qualifications:

• 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.

• Expertisein implementing automated CI/CD pipelines, infrastructure as code, and fostering a unified engineering culture across disciplines.

• Nice to have - Passion and drive for a POC / designing RAG architecture, vector databases, or integrating LLMs into data pipelines.

• Familiarity with data privacy regulations knowledge (GDPR, CCPA) and Attribute-based data security.

• Snowflake administration knowledge, preferred.

• Knowledge and experience with Data Governance - Data Quality, Metadata management, Data Security, Data Archive is preferred.

• 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.

Location Requirement:
This position is eligible for remote work within any state Dutch Bros currently resides in (AL, AZ, CA, CO, FL, ID, KS, KY, MO, NM, NV, OK, OR, TN, TX, UT, WA, WY)
Key Result Areas (KRAs):

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 datatransformations for efficiency, supporting advanced analytics and real-time dataprocessing 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 frameworksthat 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

Skills:

• Data engineering

• Functional Expertise

• Data modeling

• Data management and data governance

• Leading by Influence

• Detail-Oriented

• Multitasking

Physical Requirements:

• In-Office Environment:Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions.

• Office Conditions:Adaptability to typical office conditions, which may include exposure to air conditioning, heating, artificial lighting, and varying noise levels

• Mobility: Ability to sit, stand, reach, twist, stretch, and work at a desk for long stretches. Must be able to occasionally move or lift office items up to 25 pounds

• Hearing Requirements:Hearing must be sufficient or correctable to ensure clear understanding of spoken information, including participating in virtual meetings and phone calls. Use of hearing aids or other assistive devices is acceptable if needed.

• Reading and Writing Proficiency:Ability to read and write in English is essential for processing documents, drafting reports, and following up on necessary actions. Proficiency in written communication is required to handle job-related tasks effectively.

• Vision Requirements:Vision must be adequate or correctable to perform essential job duties, such as reading documents on a computer screen and using other visual tools. Use of corrective lenses or other measures to meet visual requirements is expected if needed.

• Technology Proficiency:Must be proficient in operating a computer and other office productivity tools such as printers, scanners, and collaboration software.

• Effective Communication:Must possess strong verbal and written communication skills to interact effectively with team members, clients, and other stakeholders via email, video conferencing, and other in office communication tools.