Senior Capacity Planner- Data Engineering

For this role, we particularly want someone who is inquisitive and enjoys applying data to address complex questions and tackling new challenges.  You need to want to investigate interesting issues while also enabling others with the data to investigate for themselves.

Reporting to the Director of Compute Capacity, this individual will be designing and evolving the Capacity Planning database to meet changing circumstances, forecasting demand trends, and diving into deep analytical questions, in addition to sourcing the data that other capacity planners will use.  

What You’ll Be Doing:

• Lead the design and evolution of the Capacity Planning database to provide for historical data tracking, forecasting, dashboarding & reporting, key metrics, and daily demand analysis across all product lines
• Develop data pipeline requirements with engineering teams to support all capacity planning needs
• Collect, join and maintain data in support of team objectives, while maintaining data quality and integrity
• Collaborates with infrastructure engineering to understand and interpret capacity metrics and relationships
• Identify capacity-related concerns and proactively work with cross-functional teams to develop measurements, collect data and discover resolutions
• Ensure that capacity limits and assumptions are understood, measured, modeled and communicated
• Analyze and understand various demand streams and product trends to deliver robust forecasts
• Performs data analyses by distilling large data sets to recommend and inform business decisions prioritizing operational trade-offs and capital spend
• Builds capacity planning modeling and analytical tools, applying tools to gather relevant data and identify, track and report on capacity performance and restraints.

What We’ll Expect From You:

• You like data and wrangling data
• You have strong SQL skills and understand principles of designing database tables so they are usable by a broad audience
• You bring Data Warehouse and Data Lake experience
• Experience with programming in Python, R, or similar
• Skilled at data visualization and working with BI software (e.g. Looker, Tableau, etc)
• Familiar with the basic components of modern computers, virtual machines and hypervisors, and with computer networking