arrivia is seeking an experienced Fabric Data Engineer to own complex data pipeline architectures within the Microsoft Fabric ecosystem. You will design and optimize enterprise-scale data solutions, set technical standards for the team, and mentor junior engineers as you work across the organization to turn complex requirements into reliable, high-performing, well-governed data platforms. This role involves migrating an on-premises relational database to a modern cloud environment and decommissioning legacy data-warehouse systems, enabling accurate and timely reports and dashboards. You will collaborate with analysts, data scientists, and business stakeholders to ensure pipelines meet needs for reporting and analytics. The role also emphasizes AI-enabled development, with exposure to the latest AI tooling, including retrieval-augmented generation, embeddings, and vector search, and you will work in a hybrid work arrangement based in Scottsdale, Arizona. Key responsibilities include designing end-to-end pipelines using Microsoft Fabric Data Factory, Dataflows Gen2, PySpark and Spark SQL; leading lakehouse and warehouse design; cloud modernization with OneLake; real-time ingestion via Fabric Eventstream; performance and reliability improvements; governance through Microsoft Purview; CI/CD and testing for data assets; maintaining Power BI semantic models where needed; and mentoring team members through code reviews and architectural discussions. Qualifications include 3-5 years in data engineering or related analytics engineering, strong SQL (T-SQL and Spark SQL) and Python wi

arrivia is seeking an experienced Fabric Data Engineer to own complex data pipeline architectures within the Microsoft Fabric ecosystem. You will design and optimize enterprise-scale data solutions, set technical standards for the team, and mentor junior engineers as you work across the organization to turn complex requirements into reliable, high-performing, well-governed data platforms. This role involves migrating an on-premises relational database to a modern cloud environment and decommissioning legacy data-warehouse systems, enabling accurate and timely reports and dashboards. You will collaborate with analysts, data scientists, and business stakeholders to ensure pipelines meet needs for reporting and analytics. The role also emphasizes AI-enabled development, with exposure to the latest AI tooling, including retrieval-augmented generation, embeddings, and vector search, and you will work in a hybrid work arrangement based in Scottsdale, Arizona. Key responsibilities include designing end-to-end pipelines using Microsoft Fabric Data Factory, Dataflows Gen2, PySpark and Spark SQL; leading lakehouse and warehouse design; cloud modernization with OneLake; real-time ingestion via Fabric Eventstream; performance and reliability improvements; governance through Microsoft Purview; CI/CD and testing for data assets; maintaining Power BI semantic models where needed; and mentoring team members through code reviews and architectural discussions. Qualifications include 3-5 years in data engineering or related analytics engineering, strong SQL (T-SQL and Spark SQL) and Python wi