Databricks Architect

Job Title: Databricks Architect Location: United States (Remote) Job Type: Contract to hire Industry: Analytics Services Required Technical and Professional Expertise: Strong experience with Databricks platform Expertise in Apache Spark, Spark SQL, and distributed computing Programming experience in Python, Scala, or SQL Experience with data lakes and lakehouse architectures Strong experience with cloud data platforms such as: Microsoft Azure Google Cloud Platform

Job Responsibilities and Qualifications for Databricks Architect: 8+ years of overall Data Engineering experience. 3+ years of hands-on experience with Databricks. Strong expertise in Apache Spark and PySpark. Advanced SQL programming skills. Experience implementing Delta Lake and Lakehouse architecture. Strong understanding of data warehousing concepts and dimensional modeling. Experience with batch and real-time data processing. Hands-on experience with cloud platforms such as AWS, Azure, or G

Overview Razor is supporting a rapidly growing Databricks practice with dozens of funded openings supporting both commercial and federal programs for our client. Demand is significantly outpacing available talent, and we are actively seeking hands-on Databricks Engineers / Developers who are ready to contribute immediately. This role is ideal for professionals with strong real-world Databricks platform experience who enjoy building scalable data and analytics solutions in cloud environments. Ed

Role: Databricks Solution Architect Location: USA-Remote Hire Type: Full-Time Permanent Role (No Contract) Domain: Insurance Preferred Job Overview: We are looking for an accomplished Databricks Solution Architect to lead the design, modernization, and implementation of enterprise-scale data platforms on Azure. In this senior role, you will define target-state data architecture, establish scalable Lakehouse design patterns, and guide the development of high-performance data pipelines using D