Hiring: Data Architect Company: Caribou Coffee Location: Brooklyn Center, MN Job Posted Time: 2026-09-17 01:14:47 Target Skills & Keywords : Azure, CI/CD, Data Pipeline, Data Warehouse, Databricks, ELT, ETL, Fivetran, Git, Python, SQL, Scala, Snowflake, Spark, dbt About the job Experience: •5+ years’ experience in data engineering, data warehousing, or a related technical role. Required Skills: •Design, develop, and maintain scalable pipelines that ingest data from source systems into the enterprise data warehouse. •Architect and optimize data warehouse structures for performance, scalability, reliability, and future growth. •Design integration patterns and data flows between enterprise applications, APIs, and cloud platforms. •Evaluate and recommend data technologies, tools, and architectural improvements that enhance enterprise capabilities. •Implement and uphold enterprise data architecture standards and development practices. •Maintain technical documentation for data architecture and platform standards. •Establish and manage data retention, archival, backup, and recovery processes to support business continuity and regulatory requirements. •Provide architectural recommendations and technical expertise to support long-term data platform strategy and scalability. Qualifications: •Brings the Core Values to life in all that you do: Support One Another, Make Fun Happen, Be Yourself, Take Ownership, Serve with Love. •Thrives in a performance-driven environment by taking ownership of outcomes, delivering meaningful contributions, and aligning efforts to team and organizational priorities. •Designs scalable data solutions with a clear understanding of how data flows across systems, processes, and business functions. •Analyzes complex technical and data challenges, identifies root causes, and implements effective, long-term solutions. •Builds strong partnerships with technical and non-technical stakeholders to align priorities, solve problems, and achieve shared outcomes. •Takes responsibility for delivering reliable, high-quality data solutions while ensuring ongoing operational excellence. •3–5+ years’ experience in data engineering, data warehousing, or a related technical role. •Proficiency in SQL and at least one programming language used for data pipelines (Python, Scala, or similar). •Applied hands-on capability in cloud data platforms (Snowflake, Azure Synapse, Databricks, or equivalent). •Operational familiarity with data modeling concepts including dimensional modeling and star/snowflake schemas. Compensation: •$90,580 - $150,966 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!