Job Summary
| • Maintain architecture principles, guidelines and standards • Lead the Data Engineering team, providing technical direction, Architectural guidance • Lead Data Governance practices to ensure data quality, security and compliance across the organization • Data Warehousing, Data Modeling, OLAP/OLTP • Big Data • Data Analytics & Data Science for solutioning |
| • • Strong Experience in Big Data • Design, build & maintain scalable data lake and data warehouse in cloud (GCP) • Architect, develop and test scalable data warehouses and data pipelines architecture in Cloud Technologies (GCP) • Expertise in defining the BI/DW architecture to support and help deliver technical solutions to complex business and technical requirements • Creating solution prototype and participating in technology selection. Perform POC and technical presentations • Lead POCs and innovation initiatives on emerging GCP services and Gen AI use cases • Demonstrate excellent communication skills to collaborate effectively with cross-functional teams and stake holders • Strong Experience in end-end to migration from different warehouses (SAP,Oracle,Terradata Etc) to GCP with primary focus on designing efficient migration strategies to BigQuery Good To Have:- AI/ML background,VertexAI IAM Experience, DevOps with CI/CD Experience Experience from data visualisation tools such as Google Looker or Power BI Project & Program Management |
Key Responsibilities
2. Creation of solution and architectural views (logical| conceptual| development| execution| infrastructure & operations architecture)
3. To collaborate with business and technical stakeholders, including leaders, project managers, and development teams, to understand and prioritize requirements while defining the architecture.
4. To ensure knowledge up-gradation and work with new and emerging products/technologies
5. To drive innovation by exploring and recommending new solutions within the organization.
6. To contribute towards white/technical papers and knowledge base