Job summary architect role in a global organization focusing on designing and optimizing cloud native data platforms using azure and snowflake technologies. The role requires ten to fourteen years of experience in data engineering and solution architecture working in a hybrid model with day shifts and no travel expectations. The architect will enable secure scalable and reliable data solutions. Responsibilities design robust cloud based data architectures that integrate azure functions azure data lake store azure data factory and azure event hub to support scalable analytics solutions that align with enterprise standards and customer expectations.
develop end to end data ingestion and transformation workflows using azure data factory and snowpipe that ensure timely reliable and efficient data movement from diverse operational systems into centralized repositories.
implement secure and optimized data storage patterns on azure data lake store that support structured and unstructured data while enabling efficient querying and lifecycle management for analytical workloads.
create performant snowflake sql data models including fact and dimension structures that support complex reporting advanced analytics and self service data consumption by business partners.
configure and maintain snowflake streams and related change data capture patterns that enable near real time data processing and downstream event driven analytics for critical business domains.
develop and maintain snowpipe configurations that automate data loading from cloud storage into snowflake while monitoring performance and optimizing cost and resource utilization.
set up and manage azure devops pipelines that automate build test and deployment activities for data solutions ensuring consistent repeatable and high quality releases across environments.
collaborate with cross functional stakeholders to gather requirements translate them into technical designs and ensure that delivered data solutions address ...