Azure Data Architect, Hosur

Skill: Azure Data Architect Location: Bangalore Experience: 12 to 18 years Np: Immediate to 30 Days Mode: Hybrid Job Description: Seeking an experienced Azure Data Architect with deep expertise in Databricks to lead and architect scalable big data solutions on Azure Databricks platform Job DescriptionLead design and implementation of advanced data engineering solutions leveraging Azure Databricks Architect scalable and high-performance big data pipelines using Spark and Databricks Collaborate with cross functional teams to translate business requirements into technical solutions Drive best practices in data engineering including performance tuning optimization and data governanceMentor and guide junior engineers and technical teams to enhance skillsets and deliverables Ensure security and compliance standards are embedded within data workflows and architecture Stay updated with emerging technologies and incorporate innovative solutions to improve data processing and analyticsWork closely with cloud architects to integrate Databricks solutions within broader Azure ecosystems Deep Understanding of Azure Cloud Services Roles and Responsibilities Lead the development deployment and management of Azure Databricks environments Design and optimize ETL pipelines and Spark jobs for largescale data processingOversee data transformation ingestion and integration processes ensuring data quality and consistency Collaborate with stakeholders to define KPIs reporting requirements and data strategy Collaborate with business stakeholders and Product Managers to develop product vision and roadmap Work with Business Analysts to gather requirements and create architecture blueprints and design documentsExtensive experience in data modelling and database design involving any combination of Databases Data warehousing and Business Intelligence systems and tools Performance tuning of applications and databases Implement data security measures including role based access and compliance controls Guide continuous integration and continuous deployment CICD practices for data engineering projectsProvide technical leadership and mentorship to data engineering teams Troubleshoot and resolve complex technical issues related to Databricks and Spark workload Lead the creation of common services frameworks and reusable components and review design and code to manage technical debt Govern architecture and technology by leading reviews assessments and ensuring compliance with frameworksDrive continuous architecture improvement and cost optimization in collaboration with technical and product management teams Stay updated with emerging technologies and trends especially in AI and incorporate them into the architecture