Director of Engineering; Lakeflow

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 provides ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, Service Now, 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 as organizational boundaries.

• Solve real business needs at a large scale by applying your 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
• Lead and participate in technical, product, and design discussions
• Build, manage, and operate highly scalable services in the cloud
• Grow leaders on the team by providing coaching, mentorship, and growth opportunities
• Partner with other engineering and product leaders on planning, prioritization and staffing
• Create a culture of excellence on the team while leading with empathy

• 15+ years of industry experience building and supporting large-scale distributed systems
• Building, growing, and managing high-performance teams
• Ability to attract and hire engineers who meet the Databricks hiring principles
• Existing experience building and running cloud platforms
  -or- demonstrated ability to quickly learn new concepts in the SaaS space (i.e., technical background and fast learner)
• Experience working cross-functionally with product management and directly with customers; ability to deeply understand product and customer personas
• BS in Computer Science or Masters or PhD

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.

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