Key Skills: Azure Databricks, Azure, AI Architect, Azure ADF

Roles and Responsibilities:
Define end-to-end cloud data and AI architectures aligned with enterprise business requirements and security standards.
Design scalable data engineering solutions using Azure Databricks and up-to-date transformation practices.
Lead architecture reviews, technical decisions, implementation planning, and engineering governance.
Manage and mentor data engineering teams while ensuring delivery quality, technical consistency, and adherence to project milestones.
Serve as a senior customer-facing technical advisor, presenting solution options, architecture decisions, and delivery recommendations.

Skills Required:
15 - 20 years of relevant experience in data engineering, cloud architecture, and AI solution delivery.




Extensive experience designing and delivering enterprise solutions on Microsoft Azure.
Solid architecture and implementation expertise with Azure Databricks and large-scale data platforms.
Demonstrated experience as an AI Architect, including solution planning for artificial intelligence and advanced analytics workloads.
Experience with data transformation, integration patterns, APIs, testing practices, and production delivery for cloud data platforms.

Positive to Have:
Experience with Azure Data Factory (Azure ADF), dbt, Databricks delivery programs, team handling, and customer interfacing.

Education: B.E., B.Tech, or B.Tech M.Tech (Dual) in Computer Science.

📌 Data Engineer Azure Databricks Bengaluru
🏢 MyCareernet
📍 Bengaluru