Company:A Large Global Organization Key

Skills:
Microsoft Azure, Azure Databricks, Data Architecture, Enterprise Data Modelling, Python, PySpark, Power BI, Data Processing, Data Governance, Cloud Data Platforms Roles &

Responsibilities:
• Define enterprise data architecture, solution patterns, and standards for cloud-based data platforms.
• Design conceptual, logical, and physical data models for analytical and operational use cases.
• Develop and guide data engineering solutions using Azure Databricks, PySpark, and Python.
• Design curated datasets and semantic structures for Power BI reporting and analytics.
• Assess data platform scalability, security, governance, integration, and performance requirements. Skills Required:
• 8
- 12 years of relevant experience in data architecture,



cloud data platforms, and business intelligence.
• Strong hands-on experience with Microsoft Azure and Azure Databricks.
• Advanced knowledge of data architecture and enterprise data modelling principles.
• Proficiency in Python and PySpark for large-scale data processing.
• Experience designing Power BI data structures, reporting models, and analytical solutions. Valuable to Have:
• Experience with AI agents and agent-based data or analytics solutions.

Education:
• Bachelor's or master's degree in computer science, information technology, engineering, or a related discipline.

📌 Senior Data Architect_105510 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru