← All jobs · Databricks

Engineering Manager (Ingestion)

Databricks ·
61
AI-Agency
B65 U55
📍 Bengaluru, IN Manager 11+ yrs
Apache SparkDelta LakeMLflowcloud platforms
TL;DR

Engineering Manager (Ingestion) at Databricks leading the Lakeflow Connect team in India. Responsible for building and scaling data ingestion infrastructure, managing high-performance teams, and collaborating across product and organizational boundaries.

Apply at Databricks →
share:
you'll be redirected to the company's career page

Job description

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. 

The impact you will have:

What we look for:

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 TwitterLinkedIn 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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Apply at Databricks →

More open roles at Databricks

Databricks 🔷 AI-first · 🔄 synced 3h ago
AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector
📍 US 🌐 Remote 💰 $180K–$248K 🛠 AI tools welcome at work · Senior
AI Forward Deployed Engineer at Databricks building GenAI solutions for U.S. federal government customers. Develop production-grade RAG, multi-agent systems, and LLM applications; serve as technical advisor and thought leader.
HuggingFaceLangChainDSPyPyTorchscikit-learnpandas
85
AI-core
Databricks 🔷 AI-first · 🔄 synced 3h ago
PhD GenAI Research Scientist Intern
📍 San Francisco, US 💰 $112K–$124K · Intern
PhD GenAI Research Scientist Intern at Databricks working on domain adaptation for LLMs and enterprise AI systems. Focus on fine-tuning, evaluation, retrieval augmentation, and efficient inference methods.
PyTorchLLMsretrieval augmentationsynthetic data
85
AI-core
Databricks 🔷 AI-first · 🔄 synced 3h ago
Specialist Solutions Architect - AI & ML (Communications, Media, Entertainment & Games)
📍 US 🌐 Remote 💰 $219K–$301K 🛠 AI tools welcome at work · Senior
Specialist Solutions Architect at Databricks building production-grade ML and AI applications on the Data Intelligence Platform. Focus on GenAI, MLOps, agentic systems, and customer technical guidance for enterprise deployments.
AWSAzureGCPHuggingFaceLangchainOpenAI
83
AI-core
Databricks 🔷 AI-first · 🔄 synced 3h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 London, GB
AI Engineer (Forward Deployed) at Databricks building production GenAI applications for customers. Develops RAG, multi-agent systems, and LLM solutions using tools like LangChain and PyTorch, with focus on deployment and optimization.
LangChainPyTorchHuggingFaceDSPypandasscikit-learn
83
AI-core
Databricks 🔷 AI-first · 🔄 synced 3h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Singapore, SG 🛠 AI tools welcome at work · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning for enterprise customers. Role involves customer engagement, technical advisory, and cross-functional collaboration with product and engineering teams.
PyTorchHuggingFaceLangChainDSPypandasscikit-learn
81
AI-core