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Senior Software Engineer (L5) - Partner Ecosystem at Databricks

DatabricksBengaluru, India
On-site Full-time

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Experience Level

Senior

Qualifications

To be successful in this role, you should possess the following qualifications: Proven experience in software engineering, particularly in developing SQL drivers or similar technologies. Strong proficiency in programming languages such as Java, Scala, or Python. Experience with data warehousing concepts and technologies. Familiarity with open-source contributions and community engagement. Excellent problem-solving skills and a passion for tackling complex technical challenges. Ability to work collaboratively in cross-functional teams. Strong communication skills, both verbal and written.

About the job

P-1405

At Databricks, our mission is to empower data teams to tackle some of the most challenging issues facing the world—whether it's revolutionizing transportation or accelerating medical advancements. We achieve this by developing and managing a cutting-edge data and AI infrastructure platform that enables our clients to harness deep data insights to enhance their businesses. Founded by engineers and driven by a customer-centric philosophy, we eagerly embrace technical challenges—from innovating next-gen UI/UX for data interaction to scaling our services across millions of virtual machines. Databricks Mosaic AI brings a unique, data-centric methodology to constructing enterprise-grade Machine Learning and Generative AI solutions, allowing organizations to securely and cost-effectively host and utilize ML and Generative AI models enriched with their enterprise data. We're excited to expand our operations in Bengaluru, India, by establishing 10 new teams from the ground up!

The Partner Ecosystem team at Databricks is dedicated to enhancing customer workloads through seamless integrations with strategic partners, while also expanding our ecosystem to include new partners and data applications. This team is vital in enabling smooth connectivity between Databricks and an extensive range of partner applications via SQLDrivers. This crucial data integration work drives a significant portion of our Data Warehousing revenue by allowing clients to effortlessly connect their applications to Databricks SQL. Furthermore, with products like Databricks Partner Connect, we are simplifying the discovery and integration process, enabling you to incorporate your preferred tools directly within the Databricks platform.

We are currently looking for a seasoned Senior Engineer to join our Partner Ecosystem team. In this pivotal role, you will be responsible for designing, developing, and maintaining SQL drivers that facilitate the majority of data warehousing traffic and essential infrastructure components that support our partner integrations. Your primary focus will be on optimizing SQLDrivers for enhanced performance, reliability, and telemetry to provide seamless connectivity to our partners and enterprise clients. Additionally, you will maintain open-source repositories and actively engage with the developer community. Collaboration with cross-functional teams will be key as you define technical requirements, architect solutions, and implement robust systems that enable our partners to connect seamlessly to the Databricks platform, ultimately driving Data Warehousing revenue and enhancing customer satisfaction.

About Databricks

Databricks is a leader in data and AI infrastructure, committed to helping organizations solve their biggest challenges through innovative technology and collaborative partnerships. We are passionate about building tools that empower data teams and drive business success.

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