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 modern 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.
• Robust 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 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru