Azure Data Architect (Mysuru)

Skill: Azure Data Architect Location: Bangalore Experience: 12 to 18 years Np: Immediate to 30 Days Mode: Hybrid : Seeking an experienced Azure Data Architect with deep expertise in Databricks to lead and architect scalable big data solutions on Azure Databricks platform
- Lead 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 governance
- Mentor 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 cutting-edge solutions to improve data processing and analytics
- Work 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 processing
- Oversee 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 documents
- Extensive 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 projects
- Provide 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 frameworks
- Drive 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 Apply on Kit Job: kitjob.in/job/4mvgpz