Databricks Architect

Role: Databricks Architect Experience: 10+ years Location: PAN INDIA Skills and Experience Required: 10+ years of overall experience inarchitecting and building data and analytics solutions,including at least oneDatabricks implementation Proven experience inApache Spark and cloud platforms such as Azure, AWS, or GCP Strong background in designing and implementing ETL/ELT processes, data lakes, and data warehouses Hands-on experience with Spark SQL, Delta Lake, Lakeflow Spark Declarative Pipelines and Unity Catalog Strong knowledge and experience on building D&A solutions with Medallion architecture Experienced in analysis, design and data modelling Familiarity with CI/CD pipelines, automation, and infrastructure-as-code (e.g. Terraform, ARM templates) Working knowledge of Unity Catalog Excellent communication, presentation, and interpersonal skills Experienced in working in a customer-facing role Databricks certifications are preferredResponsibilities: Design, implement, and maintain scalable and reliable data lakehouse architectures on Databricks Lead the migration and modernization of legacy data systems to Databricks Optimize data workflows for performance, cost, and scalability in cloud environments Establish and enforce best practices for data governance, security, and compliance within the Databricks ecosystem Provide technical leadership and mentorship to data engineers and analysts Develop and maintain documentation for architecture, processes, and best practices Stay current with industry trends and emerging technologies to continuously improve data architecture strategies

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