Engineering Manager (Ingestion)
Databricks · Posted Oct 3
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
Databricks is the Data and AI company, and data ingestion into the Lakehouse is a strategic investment area enabling Data and AI workflows. Lakeflow Connect provides ready-to-use, point-and-click connectors for enterprise applications such as Salesforce, Workday, ServiceNow and SharePoint, databases like SQL Server, cloud storage, message queues and local files, and is also a platform capability embedded across Databricks surfaces including Dashboards, Notebooks, SQL and AI. This role leads the Connect organization in India, running a product-centric engineering org that builds and operates scalable cloud ingestion services while partnering with product leadership and other Databricks products.
What you will do
- 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
- Leading and participating in technical, product, and design discussions
- Building, managing, and operating a highly scalable services in the cloud
- Growing leaders on the team by providing coaching, mentorship, and growth opportunities
Skills used in this role
What the employer is looking for
- 10+ 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 (e.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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
Databricks Newsroom
Databricks Closes $5 Billion Strategic Funding at $190 Billion Valuation2026-08-13
Databricks Newsroom
Databricks Announces Strategic Funding at a $188 Billion Valuation2026-07-16
Databricks Newsroom
Databricks Accelerates Investments in Agent Bricks, Lakebase and Databricks Apps2025-12-16