Databricks Architect

Job Title: Databricks Architect Location: Remote Industry: Analytics Services Data bricks certified required 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 Thanks,

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

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

Databricks SME / Architect Visa:- Will work but need genuine 15+ Years of experience. Location: Atlanta, GA (100% Remote) Duration: Contract We are seeking a highly experienced Databricks SME/Architect with proven hands-on expertise in designing and implementing enterprise-scale Databricks Lakehouse solutions. This is a critical role requiring strong architectural leadership and genuine production experience in Databricks environments. Required Experience: 7+ years of experience in Data Engineer