Company:IT Services Organization
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.
Robust 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

📌 Data Architect_102178 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru