Posted by employer 9 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
The Engineering Manager for Ingestion at Databricks will oversee the development of data ingestion solutions that integrate various data sources into the Lakehouse platform, ensuring seamless functionality across products. This role requires extensive experience in building large-scale distributed systems and managing high-performance teams, along with a strong understanding of cloud platforms and product management. Ideal candidates are seasoned leaders with a collaborative mindset, capable of navigating cross-functional teams and driving strategic initiatives. Databricks emphasizes a culture of mentorship and growth, making this position suitable for those looking to influence both technol
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Quick facts
From the original posting
P-995
About the Team
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.
Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.
In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.
We are looking for a senior leader to run our Connect organization in India. This is a great opportunity to lead a key strategic initiative for Databricks. The ideal candidate would have experience leading teams that build Data infrastructure as well as interest/experience in running product centric organizations. We would also look for the ability to collaborate effectively across time zones as well organizational boundaries.
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About Databricks
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