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.
- Robust 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.

Good 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