Description

Design and implement enterprise data solutions, focusing on modern platforms, governance, and MLOps integration.

This role is on-site.

Responsibilities

• Architect cloud data platforms across AWS, Azure, or GCP, integrating NoSQL, MPP, and columnar stores.
• Design batch ETL, real-time streaming, and IoT architectures using big data frameworks.
• Implement Data Fabric and Data Mesh patterns with federated and centralized data management practices.
• Establish data governance, catalogs, and security dimensions across the data lifecycle.
• Integrate MLOps processes and ML model lifecycle management into the data infrastructure.

Required Skills

• 5+ years of experience in solution architecture for data-centric enterprise programs.
• Deep expertise in Azure Cloud Platform services and data management.
• Proficiency in programming languages including Python, Java, Scala, Rust, or .Net.
• Hands-on experience with Data Governance tools and data security best practices.
• Strong background in data warehousing and BI lifecycle technologies.
• Experience with DevOps techniques, Infrastructure as Code, and deployment patterns.
• Knowledge of MLOps platforms and organizational implications of ML deployment.

Preferred Skills

• Experience with AWS or GCP cloud platforms.
• Background in IoT architecture design.

Key Skills

Education

Any Graduate