Description

You will design and implement large-scale data architectures and transformation programs for enterprise environments.

Responsibilities

• Design solution architectures for large enterprises and complex transformation programs.
• Architect data processing pipelines using batch ETL, real-time streaming, and IoT frameworks.
• Implement Data Mesh, Data Fabric, and centralized or federated data management practices.
• Establish data governance frameworks, data catalogs, and comprehensive data security protocols.
• Integrate MLOps processes and manage the end-to-end machine learning model lifecycle.

Required Skills

• 5+ years of experience in solution architecture development.
• Deep expertise in modern data platforms including NoSQL, MPP, columnar, and big data systems.
• Hands-on experience with cloud data services across AWS, Azure, or GCP.
• Proficiency in programming languages such as Python, Java, Scala, Rust, .Net, or scripting.
• Experience with DevOps techniques, Infrastructure as Code, and modern deployment patterns.
• Strong understanding of data warehousing and the BI lifecycle.
• Knowledge of MLOps platforms and their organizational implications.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate