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Building a Data Engineering Team
This chapter discusses the process of building a data engineering team and the importance of understanding the business needs. It provides insights and examples for those who are building a data engineering team for the first time, emphasizing the need to treat data as a product and bring data to the conversation to advocate for more resources.
As the Field CTO & Head of Strategy @ VAST Data, Colleen Tartow, Ph.D., has a vast resume of building data engineering teams from scratch and beyond. Colleen discusses the necessary components for developing new or reorienting existing data programs, strategies for effective communication & collaboration between data & eng functions, the implications of AI technology on data engineering, and integrating cross-functional partners into the data eng planning process & road map. Plus Colleen shares about building the hiring process for data eng functions, when the “data engineering” term or role didn’t exist yet, and how you can apply that to other emerging or undefined functions!
Colleen Tartow, Ph.D. is Field CTO and Head of Strategy at VAST Data and has 20+ years of experience in data, analytics, engineering, and consulting. Adept at assisting organizations in deriving value from a data-driven culture, she has successfully led diverse data, engineering, and analytics teams through the development of complex global data management solutions and architecting enterprise data systems. Her demonstrated excellence in data, engineering, analytics, and diversity leadership makes her a trusted senior advisor among executives. An experienced speaker, author, valued mentor and startup advisor, Colleen holds degrees in astrophysics and lives in Massachusetts.
"Everyone wants to be data driven, right? Like no one's going to say, 'No, we don't want data. We just want to function with opinions.' Like nobody's actually going to say that. But that said, getting started on that can be really challenging...
With anything, you have to go back to what does the business really need. Going back to the revenue drivers and the business pain points that you're going to help solve, whether it's monetizing your data directly or using data as an enablement function to actually help in other areas and so I think getting the organization to understand that data is a product of the business and then sort of working back from there into what does that specifically mean.”
- Colleen Tartow
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Patrick Gallagher - Producer & Co-Host
Jerry Li - Co-Host
Noah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/
Dan Overheim - Audio Engineer, Dan’s also an avid 3D printer - https://www.bnd3d.com/
Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/
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