Senior Cloud Data Warehouse Engineer/Architect

Client : A fast growing data-science company, serving clients across industries and geographies. Position: Senior Cloud Data Warehouse : 5y to 10y Location : NOIDA Work Mode : In Office only Interview Process : 3 Tech rounds, Fitment round, HR round. Joining : Immediate to 30 days Job Description : Seeking a highly experienced Senior Cloud Data Warehouse Engineer/Architect to lead the design, development, and implementation of robust and scalable data warehousing solutions on cloud platforms. The ideal candidate will have a proven track record of building full-fledged data warehouses or data marts, with expertise in cloud environments, MLOps/DevOps practices, and cloud engineering. Responsibilities : Data Warehouse Development & Architecture : - Lead the design, development, and implementation of data warehouses and data marts on cloud platforms (e.g., AWS, Azure, GCP). - Architect scalable and efficient data models and ETL/ELT pipelines - Ensure data quality, integrity, and security. - Lead the technical aspects of data warehouse projects from conception to deployment. Cloud Engineering & DevOps/MLOps : - Implement and maintain cloud infrastructure for data warehousing solutions. - Apply DevOps/MLOps principles to automate data pipeline deployments and model management. - Manage and optimize cloud resources for performance and cost efficiency. - Work with cloud based data management tools. Technical Leadership & Collaboration : - Provide technical leadership and mentorship to junior engineers. - Collaborate with data scientists, analysts, and business stakeholders to understand data requirements. - Communicate technical concepts effectively to both technical and non-technical audiences. - Troubleshoot and resolve complex technical issues. Performance and Optimization : - Monitor and optimize data warehouse performance. - Implement best practices for data storage, retrieval, and processing. Requirements : - 5-10 years of experience in data warehousing and cloud engineering. - Must Have proven experience leading or being a key contributor in building full-fledged data warehouses or data marts on a major cloud platform (AWS, Azure, GCP). - Strong working knowledge of MLOps and/or DevOps principles and practices. - Strong SQL and data modeling skills. - Experience with ETL/ELT tools and technologies. Qualifications : BE/B.Tech from a Tier1/ Tier-2 engineering college. (ref:hirist.tech)

Location: noida, IN

Posted Date: 3/26/2025