Description

You design and maintain enterprise data architecture, scalable data models, and pipelines for batch, real-time, and streaming data.

This role is hybrid.

Responsibilities

• Design scalable data pipelines for batch, real-time, and streaming data.
• Develop data integration solutions using APIs, microservices, and event-driven architecture.
• Define standards for data quality, metadata, master data, and governance.
• Ensure data security, compliance, lineage, and access controls.
• Provide technical leadership and guidance on data architecture best practices.

Required Skills

• 15-18 years of experience in data engineering, database design, or data architecture.
• Strong expertise in enterprise data modeling (OLTP, OLAP, dimensional modeling, Data Vault).
• Hands-on experience with ETL/ELT tools and data pipeline architecture.
• Strong SQL and NoSQL database design experience.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Experience with streaming platforms and real-time data processing.
• Strong understanding of data governance, security, quality, and lineage.

Preferred Skills

• Experience with API integration, microservices, and event-driven architecture.
• Exposure to AI/ML data preparation, feature stores, or MLOps.

Key Skills

Education

Any Graduate