Description

Design and implement large-scale data architectures for enterprise transformation programs.

Responsibilities

• Design data architectures using Data Mesh, Data Fabric, and centralized or federated management practices.
• Build data processing pipelines for batch ETL, real-time streaming, and IoT workloads.
• Implement data governance frameworks, including data catalogs and security protocols.
• Oversee the MLOps lifecycle, managing ML models and associated organizational processes.
• Integrate DevOps techniques and Infrastructure as Code into data platform deployments.

Required Skills

• 5+ years of experience in Solution Architecture for large enterprises.
• Deep knowledge of NoSQL, MPP, columnar, and Big Data platforms.
• Hands-on experience with Cloud Data services in AWS, Azure, or GCP.
• Proficiency in programming languages such as Python, Java, Scala, Rust, .Net, or scripting.
• Expertise in MLOps processes and the machine learning modeling lifecycle.
• Experience with data warehousing and the BI lifecycle.
• Strong understanding of DevOps deployment patterns and Infrastructure as Code.
• Familiarity with Data Mesh and Data Fabric architectures.

Preferred Skills

• Experience with industry-leading data management platforms.

Key Skills

Education

Any Graduate