Description

Design and implement scalable data architectures and modeling solutions to support enterprise analytics.

Responsibilities

• Design conceptual, logical, and physical data models representing organizational data assets.
• Implement normalization, denormalization, and indexing best practices to ensure integrity and performance.
• Integrate data models into platform architecture for efficient processing and storage.
• Drive data modeling automation to optimize time to market, transparency, and code portability.
• Evaluate and recommend data storage technologies and database management systems.

Required Skills

• 8+ years of experience in data architecture and engineering roles within data and analytics.
• 5+ years of hands-on experience with relational, dimensional, and NoSQL data platform technologies.
• Expertise in RDBMS, ETL, and data ingestion protocols.
• Proven experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts.
• Deep understanding of data modeling concepts and patterns related to data systems architecture.
• Experience implementing data strategies across reporting, visualization, analytics, and machine learning tools.
• Ability to perform hands-on modeling, configuration, installation, performance tuning, and sandbox POCs.

Key Skills

Education

Any Graduate