Description

Key Skills: Data Architecture, Data Modeling, ETL/ELT, Azure/AWS/GCP, Data Lakehouse, SQL, NoSQL, Data Governance, Streaming, Microservices

Roles & Responsibilities:

• Design and maintain enterprise data architecture and data models.
• 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.
• Work with cloud platforms and modern data lakehouse architectures.
• Collaborate with engineering and business teams to deliver scalable data solutions.
• Provide technical leadership and guidance on data architecture and best practices.

Experience Required:

• 15 - 18 years of experience in data engineering, database design, or data architecture.
• Strong experience in enterprise data modeling, including OLTP, OLAP, dimensional modeling, and 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.
• Experience with API integration, microservices, and event-driven architecture.
• Exposure to AI/ML data preparation, feature stores, or MLOps is an added advantage.

Education: Any Graduation

Key Skills

Education

Any Graduate