App Services - DevOps Architect

Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.

Job Title: App Services - DevOps Architect

Location: Bangalore

Experience: 10+ yrs

Job Type : Contract to hire.

Notice Period:- Immediate joiners.

Mandatory Skills:

A bachelor's degree in computer science, engineering, or a related field. 12-15 years of proven experience as an Azure Data Architect or similar role

Experience:

• Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2.
• Good command over languages like Python , Scala , SQL
• Strong knowledge of Azure services including ADLS , ADF, ADB ,SQL Server , Azure Synapse , Power BI , Azure Analysis Services
• Experience in leading and managing technical teams and projects using agile methodology
• Excellent communication, problem-solving, and analytical skills

Primary Skills :

• Design and implement end to end data solutions on Azure platform involving data ingestion , storage , processing , validation, and visualization
• Develop data models, data ingestion workflows and data transformations using Metadata based ADF frameworks
• Design and implement data storage solutions using ADLS , Synapse, ADB
• Design visually appealing PBI dashboards and reports
• Ensure Data Security , privacy and compliance by implementing appropriate security measures and data governance policies.
• Hands on experience in Azure DevOps processes and CICD based deployments
• Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud-native solutions.
• Collaborate with clients to understand their business requirements and translate them into technical requirements
• Stay up to date with the latest trends and technologies in the field of data architecture and recommend improvements to existing data solutions