Engineering Manager (Ingestion)
Databricks seeks a senior Engineering Manager to lead the Connect organization in India, focusing on data ingestion into the Lakehouse. This role requires 11+ years building large-scale distributed systems and experience leading high-performance teams.
Responsibilities
- Solve real business needs at a large scale by applying software engineering
- Ensure consistent delivery against milestones and strong alignment with the field working two-in-a-box with product leadership
- Evolve organizational structure to align with long term initiatives, build strong 5 ingredient teams with good comms architecture
- Manage technical debt, including long term technical architecture decisions and balance product roadmap
- Build, manage, and operate highly scalable services in the cloud
About the role
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.
, 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. g technical background and fast learner).
Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.
About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .
Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
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About Databricks
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