Data Architect: Build Scalable Data Pipelines & Warehouse

Caribou Coffee; Brooklyn Center (MN); On-site; USD 91,000 - 151,000; Full time

Job summary

Caribou Coffee is seeking a Data Architect to design, build, and maintain our data infrastructure powering enterprise analytics. You will own data pipelines and the data warehouse, ensuring clean, timely data from source systems to downstream consumers in a scalable, reliable way.

You will partner with Technology, vendors, and the BI & Data Analytics team to evolve our data architecture in line with strategic goals, focusing on security, governance, and performance at scale.

Qualifications

• 3–5+ years in data engineering or data warehousing.
• SQL proficiency and Python/Scala for data pipelines.
• Experience with cloud data platforms (Snowflake, Azure Synapse, Databricks).
• ETL/ELT pipelines using Azure Data Factory, dbt, Fivetran.
• Data modeling concepts including dimensional modeling and star/snowflake schemas.
• CI/CD and Git for data workflows.
• Able to work with technical and non-technical stakeholders.

Responsibilities

• Design, develop, and maintain scalable data pipelines into the enterprise data warehouse.
• Architect and optimize data warehouse structures for performance and scalability.
• Design integration patterns between enterprise apps, APIs, and cloud platforms.
• Evaluate data technologies and architectural improvements.
• Implement and uphold data architecture standards and platform practices.
• Maintain documentation for data architecture and standards.
• Establish data retention, archival, backup, and recovery processes.

Skills

SQL

Python

ETL/ELT pipelines

Cloud platforms

Data warehousing

Data modeling

Git & CI/CD

Stakeholder collaboration

Tools

Snowflake

Azure Synapse

Databricks

Azure Data Factory

dbt

Fivetran

Git

Job description

Caribou Coffee is seeking a Data Architect to design, build, and maintain our data infrastructure powering enterprise analytics. You will own data pipelines and the data warehouse, ensuring clean, timely data from source systems to downstream consumers in a scalable, reliable way.

You will partner with Technology, vendors, and the BI & Data Analytics team to evolve our data architecture in line with strategic goals, focusing on security, governance, and performance at scale.