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.
Solid 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 Bengaluru
🏢 MyCareernet
📍 Bengaluru