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.
- Strong 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.

Good 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