Dan Ansell is a highly accomplished and seasoned engineering leader with over two decades of experience in building and scaling high-performing teams and complex software systems. He has a distinguished career marked by significant contributions at some of the world's leading technology companies. Dan is known for his strategic acumen in product development, distributed systems, and large-scale infrastructure. He began his impactful career at Google, where he spent several years in engineering leadership roles. He then moved to Meta (formerly Facebook), where he served as an Engineering Director, leading critical initiatives and teams responsible for core products and infrastructure. Currently, Dan Ansell holds the position of VP of Engineering at Databricks, where he spearheads engineering efforts for key components of the Databricks Lakehouse Platform, driving innovation in data analytics and AI. He is passionate about fostering engineering excellence, mentoring talent, and solving challenging technical problems at scale.
Dan Ansell's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Currently leading and scaling engineering organizations at Databricks, focusing on the development of the Lakehouse platform, empowering data teams with robust and scalable data, analytics, and AI solutions.
Led multiple large engineering teams responsible for critical product infrastructure and user-facing features, contributing to the scalability and reliability of platforms serving billions of users. Drove key strategic initiatives in areas such as feed ranking, content understanding, and applied machine learning.
Held various engineering management and leadership roles at Google, contributing to the development of core infrastructure and search-related products. Focused on building scalable systems and high-performance teams.
Demonstrated consistent success in recruiting, mentoring, and leading world-class engineering teams, fostering a culture of innovation, collaboration, and execution excellence across multiple organizations.
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