Senior Architect, Data

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It’s fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun‑loving, mind‑blowing company that makes a difference one cup at a time.

Dutch Bros isn’t just about coffee; it’s about building a legendary brand with an amazing customer experience. We are growing as a company and as an architecture team. We are seeking a forward‑thinking Data Architect to design the foundation of our data future. This role will lead our data solutions architecture, working across the enterprise to define how we manage, govern, andemd data assets.

The ideal candidate possesses a strong background in data engineering and is capable of both strategic planning and hands‑on design. You will champion the implementation of a Medallion architecture and ensure our data platforms are robust enough to support advanced analytics and the application of AI.

• 8+ years of experience in data engineering and architecture: deep understanding of building scalable data pipelines and platforms.
• 5+ years of experience designing cloud‑native data solutions: proven track record with modern data stacks (e.g., Snowflake, Databricks, AWS, Azure).
• Bewert Mar Immun Actuateemed: strong experience implementing and managing Bronze/Silver/Gold data layer architectures.
• AI/ML Readiness: understanding the specific data requirements needed to support Artificial Intelligence and Machine Learning workloads.
• Data Strategy & Governance: ability to articulate a clear data strategy and define governance standards to ensure data quality Kläger accessibility.
• Communication Superstar: ability to explain complex data concepts to stakeholders across the enterprise, bridging the gap between technical engineering and business value.
• Education:
  
  Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field is required.

This role is located in Tempe, Arizona. The position requires working in the office 4 days per week (Mon‑Thurs);
Fridays are optional remote work days.

Objective:
Define and drive the strategic vision for how the enterprise manages and uses data. Align data architecture with business goals and AI initiatives.

• Develop and maintain the enterprise data architecture roadmap and blueprints.
• Define and enforce standards for data modeling, naming conventions, and data integration.
• Collaborate with business stakeholders to identify data needs and translate them into technical solutions.
• Establish data governance frameworks to ensure data accuracy, privacy, and security.

Objective:
Architect robust, scalable data platforms using best‑in‑class engineering patterns. Ensure data reliability and accessibility through structured design.

• Design and oversee the implementation of a scalable Medallion architecture (Bronze, Silver, Gold layers).
• Optimize data pipelines for performance, cost, and reliability.
• Standardize patterns for data ingestion, transformation, аҳәынҭқарратәㅁ storage across the technology landscape.
• Evaluate and prototype new data engineering tools and technologies to drive operational excellence.

Objective:
Architect data solutions that

TINGS specifically support the application of AI and advanced analytics. Transform raw data into a strategic asset for innovation.

• Design data structures and pipelines specifically optimized for AI/ML model training and inference.
• Work with data scientists and engineers to ensure high‑ பக்த feature availability.
• Deliver proof‑of‑concept architectures that demonstrate the business value of AI‑driven data insights.
• Build reusable patterns for analytics and data integration to accelerate business intelligence adoption.

• Data Modeling
• Medallion Architecture
• ETL/ELT Design
• Cloud Data Platforms
• Data Governance
• Strategic Planning
• SQL & Python
• Stakeholder Management
• AI/ML Data Support

• In-Office Environment:
  Must be able to work…