BOOK NOW FOR your podcast
Nick Schrock
Founder at Dagster Labs
- Engineering
- Data
- Entrepreneur
- đź“ŤBrooklyn, NY
Nick is the Founder and CTO of Dagster Labs, the company behind Dagster, a popular open-source data orchestration platform. Before Dagster Labs, he was a Principal Engineer and Director at Facebook from 2009 to 2017, where he founded the Product Infrastructure team and co-created GraphQL.
After cutting his teeth at Facebook, he pursued his passion for working on engineer pain points after hearing that data infrastructure was a big issue. He founded Dagster to address this issue, highlighting how quickly open-source projects were able to make an impact at legacy companies.Â
Dagster couldn’t come at a more critical time as data and ML engineering are beginning to drive both human and business decision-making.
read more
 BOOK NOW FOR your podcast
Nick Schrock
Founder at Dagster Labs
- đź“ŤBrooklyn, NY
- Engineering
- Data
- Entrepreneur
Nick is the Founder and CTO of Dagster Labs, the company behind Dagster, a popular open-source data orchestration platform. Before Dagster Labs, he was a Principal Engineer and Director at Facebook from 2009 to 2017, where he founded the Product Infrastructure team and co-created GraphQL.
After cutting his teeth at Facebook, he pursued his passion for working on engineer pain points after hearing that data infrastructure was a big issue. He founded Dagster to address this issue, highlighting how quickly open-source projects were able to make an impact at legacy companies.Â
Dagster couldn’t come at a more critical time as data and ML engineering are beginning to drive both human and business decision-making.
read more
As seen on
Timeline
May 2018 - Present
Dagster Labs
Founder
Feb 2009 - Feb 2017
Software Engineer
Jun 2003 - Jul 2004
Microsoft
Software Design Engineer
Ask me
| Can you share your insights on the evolving landscape of data engineering and how Dagster is contributing to shaping its present and future? |
| Given your extensive experience at Facebook and your role in creating GraphQL, how do you see the operational convergence of data engineering, machine learning, and artificial intelligence shaping the tech industry, and what challenges lie ahead? |
| Dagster is known for emphasizing data engineering best practices. Could you elaborate on the key principles behind building engineering tools for fellow engineers, and how these principles have influenced Dagster's development? |
| As someone who transitioned from being the CEO of Dagster Labs to now serving as the CTO and Chairman, could you discuss the Engineering Founder's dilemma and your personal journey in navigating the decision between building technical solutions and managing the company's growth? |
| The open-core business model can be challenging to balance. Can you delve into how Dagster Labs has managed to strike the delicate equilibrium between offering an open-source platform like Dagster and creating value through its commercial offerings? |
