Sr Cloud Engineer

Workday•Boston, MA

17h•$161,300 - $241,900•Hybrid

About The Position

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team About the Role Maintains the relationships and monitors performance of information technology vendors contracted for the delivery of outsourced services. Public (AWS, Azure, GCP) analysis of actuals to budget / forecast, analyze key areas of waste and optimization, and utilization rates. Extract and analyze large scale data within cloud billing and usage, to support senior engineering and financial partners in decision making. Describe and implement opportunities for price optimizations initiatives with public cloud vendors including Reserved Instances (RIs) and Monthly Savings Plans. Identification, implementation, and maintenance of AWS Key Performance Indicators. Extract and analyze sophisticated datasets using well optimized SQL queries, Python and R. Configure analytics platforms Looker and Portal Lightdash to create dashboards and reports to provide business insights and drive business development. Monitor service level objectives by building Grafana dashboards to track metrics like service status. Create alerts for significant changes in key metrics for teams to address anomalies in time.

Requirements

Master's degree in Data Science, Data Analytics or related field.
Completion of a university level course, research project, internship, or thesis in Public cloud GCP BigQuery data analysis
Completion of a university level course, research project, internship, or thesis in Cloud data machine learning modeling
Completion of a university level course, research project, internship, or thesis in Cloud data visualization using Python and SQL
Completion of a university level course, research project, internship, or thesis in Extracting and processing large-scale datasets using SQL queries and Python
Completion of a university level course, research project, internship, or thesis in Configuring analytics platforms comparable to Looker to build dashboards and create reports.

Responsibilities

Maintains the relationships and monitors performance of information technology vendors contracted for the delivery of outsourced services.
Public (AWS, Azure, GCP) analysis of actuals to budget / forecast, analyze key areas of waste and optimization, and utilization rates.
Extract and analyze large scale data within cloud billing and usage, to support senior engineering and financial partners in decision making.
Describe and implement opportunities for price optimizations initiatives with public cloud vendors including Reserved Instances (RIs) and Monthly Savings Plans.
Identification, implementation, and maintenance of AWS Key Performance Indicators.
Extract and analyze sophisticated datasets using well optimized SQL queries, Python and R.
Configure analytics platforms Looker and Portal Lightdash to create dashboards and reports to provide business insights and drive business development.
Monitor service level objectives by building Grafana dashboards to track metrics like service status.
Create alerts for significant changes in key metrics for teams to address anomalies in time.