Databricks Architect

Senior Data Architect Databricks Location: Kansas City, MO Duration: Long-Term Required Qualifications 10+ years of experience in data architecture, data engineering, data warehousing, or related technical disciplines. 3+ years of hands-on Databricks experience designing and implementing enterprise solutions. Proven experience leading at least one end-to-end Databricks implementation, from architecture and initial setup through production deployment. Strong understanding of Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and Apache Spark. Advanced proficiency in Python, PySpark, and SQL. Experience designing and implementing scalable ETL/ELT pipelines and data integration solutions. Strong experience with at least one major cloud platform: Azure, AWS, or Google Cloud Platform (GCP). Experience with cloud-based data storage, data warehouses, and distributed processing technologies. Strong understanding of data modeling, governance, security, and performance optimization. Experience migrating or modernizing legacy data platforms into cloud-based architectures. Ability to develop architecture diagrams, technical documentation, and implementation roadmaps. Strong communication skills and the ability to collaborate with technical teams and business stakeholders. Preferred Qualifications Databricks Certified Data Engineer Professional or Associate. Relevant advanced Databricks architecture certifications, where available. Experience implementing Databricks across multiple enterprise environments. Experience with Azure Data Factory, Azure Data Lake Storage, AWS Glue, Amazon S3, or similar cloud services. Experience with Terraform, Infrastructure as Code (IaC), and automated deployment pipelines. Familiarity with dbt, Airflow, or other orchestration and transformation technologies. Experience integrating Databricks with Power BI, Tableau, or other analytics platforms. Understanding of streaming data architectures and real-time processing. Experience supporting machine learning, AI, or advanced analytics workloads. Experience with enterprise data platform modernization initiatives.