Workday

Sr Cloud Engineer

Workday$161K — $241K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Data Science, Data Analytics, or related field.
  • Experience with GCP BigQuery data analysis through coursework or projects.
  • Hands-on knowledge of cloud-based machine learning modeling from academic projects.
  • Proficiency in cloud data visualization using Python and SQL acquired during studies or internships.
  • Experience with extracting and processing large-scale datasets using SQL and Python from educational or professional settings.
  • Familiarity with analytics platforms like Looker learned through academic projects or internships.

Responsibilities

  • Maintain relationships with IT vendors providing outsourced services.
  • Analyze public cloud cost and usage against budgets and forecasts.
  • Identify areas of waste and optimization in cloud usage.
  • Implement price optimization strategies including Reserved Instances and Savings Plans.
  • Develop and monitor AWS Key Performance Indicators.
  • Create dashboards and reports using analytics platforms like Looker.
  • Build Grafana dashboards to track service-level metrics and set alerts for anomalies.

Benefits

  • Participation in the Workday Bonus Plan or role-specific commission/bonus opportunities.
  • Annual refresh stock grants included in the compensation package.
  • Access to a hybrid work model with flexibility in scheduling.
  • Comprehensive benefits package available, specifics shared during hiring process.
Full Job Description

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.

Salary Range: $161,300 - $241,900


About You


Basic Qualifications

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; and

Completion of a university level course, research project, internship, or thesis in Configuring analytics platforms comparable to Looker to build dashboards and create reports.


Workday Pay Transparency Statement


Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please .

 

Primary Location: USA.MA.Boston

 

 



Our Approach to Flexible Work
 

Workday uses a hybrid Flex Work Model. Most roles require at least 50% in-person time each quarter in a Workday office or with customers, prospects, or partners, with specific expectations varying by role, team, country, and business needs.

About Workday

Workday, Inc. is a provider of enterprise cloud applications for finance and human resources. The Company delivers financial management, human capital management and analytics applications designed for various companies, educational institutions and government agencies. As part of its applications, the Company provides embedded analytics that capture the content and context of everyday business events, facilitating informed decision-making from wherever users are working. Its applications include Workday Financial Management, Workday Human Capital Management (HCM) and Other Applications. It also provides open, standards-based Web-services application programming interfaces, and pre-built packaged integrations and connectors. Workday, Inc. is headquartered in Pleasanton, California.
Learn more about Workday
Size
15,932 employees
Market Cap
$42.2 billion
Industry
Net Income
-$282.4 million
Founded
2005
5 Year Trend
+26.7%
Revenue
$4.3 billion
NASDAQ

Similar Jobs

More Jobs at Workday

More Information Technology Jobs

Find similar Sr Cloud Engineer jobs: