Principal Software Engineering Manager at Microsoft
Principal Software Engineering Manager Details
May 16, 2019, 8:24 p.m.
data service team Cloud Capacity Supply
The Cloud Capacity Supply Chain and Provisioning (CSCP) organization shoulders the critical responsibility of delivering to the cloud customer, across Microsoft, the promise of elasticity and scale at optimal cost and speed. CSCP is at the front of Microsoft's cloud growth - forecasting, planning and executing the end-end supply chain leading all the way to provisioning capacity to Microsoft's datacenters as well as managing capacity to provide the best customer experience. We have built platform (Mantis) to enable system driven planning functionalities, such as Demand Forecasting, Capacity signal generation, and many other business areas. We are looking for an engineering manager to lead our data service team to build big data based, self-service, configurable and scalable data platform that supports fast growing supported applications on top of Mantis.
As a Software Engineering Manager, the candidate will be personally involved and leading the team in designing, configuring, implementing the data requirements for all supported application areas, as well as new data platform features where new applications can self-onboard new datasets, configure and auto generate ETLs, handle data transformation needs through platform UI or through prebuilt logic plug ins, with the capability of self data troubleshooting, data quality checking, metadata creation with auditing, and many more essential data functions.
The ideal candidate will have: 10+ years data engineering experiences: NoSQL, data serialization framework, big data, SQL, data modeling, data pipelines Knowledge/hands-in experience on data warehousing, OLTP and OLAP systems 3+ years e xperience leading software engineering projects/teams Bachelor's degree or equivalent experience in computer science or related fields Preferred: Strong knowledge with C#, or at least one modern programming language Knowledge of Azure stack and surround technologies Experience with Cosmos/ADL/Hadoop/Spark/Kusto Knowledge of machine learning, time series models and