Databricks Architect (Not Engineer)
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Full-time
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Responsibilities
Position OverviewWe are seeking an experienced Databricks Architect to design and deliver scalable, high-performance data architecture solutions across modern cloud data environments.The ideal candidate will have deep expertise in Databricks, Hadoop, Azure, data engineering, and ETL, along with strong leadership and stakeholder-management skills.Key ResponsibilitiesDesign and implement enterprise-scale data architecture solutions.Architect modern data platforms using Databricks and Azure.Leverage Delta Lake, Liquid Clustering, serverless compute, and AI monitoring capabilities.Lead data engineering and ETL architecture initiatives.Modernize Hadoop-based data environments and transition to cloud-based platforms.Define scalable, reliable, secure, and high-performance data solutions.Collaborate with data engineers, developers, cloud teams, business stakeholders, and leadership.Provide technical leadership and architectural guidance across data initiatives.Identify opportunities to improve data platform performance, scalability, and operational efficiency.Communicate complex technical concepts and architecture decisions effectively to stakeholders.✅ Required Qualifications10+ years of experience in Data Architecture.Significant hands-on experience with Hadoop and Databricks.Strong expertise in Azure cloud data platforms.Strong background in Data Engineering and ETL processes.Advanced knowledge of Databricks platform capabilities.Experience with Delta Lake, Liquid Clustering, AI Monitoring, and Serverless Compute.Excellent communication, leadership, and stakeholder-management skills.Interested candidates: Please share your updated resume and LinkedIn profile along with your current location and work authorization.