Senior Software Engineer (L5) - Partner Ecosystem

P-1405

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. We do this by building
and running the world's best data and AI infrastructure platform so our
customers can use deep data insights to improve their business. Founded by
engineers — and customer obsessed — we leap at every opportunity to solve
technical challenges, from designing next-gen UI/UX for interfacing with data to
scaling our services and infrastructure across millions of virtual machines.
Databricks Mosaic AI offers a unique data-centric approach to building
enterprise-quality, Machine Learning and Generative AI solutions, enabling
organizations to securely and cost-effectively own and host ML and Generative AI
models, augmented or trained with their enterprise data. And we're only getting
started in Bengaluru , India - across 10 new teams that we're setting up from
scratch !

The Partner Ecosystem team’s mission at Databricks is to enrich and win customer
workloads through seamless integrations with strategic partners, while also
widening the partner ecosystem to include new partners and data applications.
This team enables seamless connectivity between Databricks and a vast range of
partner applications through SQLDrivers. This vital data integration work powers
the majority of the company’s Data Warehousing revenue by allowing customers to
effortlessly connect their applications to Databricks SQL. In addition to that,
through products like Databricks Partner Connect, we are simplifying the
discovery and integration process, allowing you to seamlessly incorporate your
preferred tools directly within the Databricks platform. 

We are seeking an experienced Senior Engineer to join our Partner Ecosystem
team. In this role, you will design, develop, and maintain SQL drivers that
power the majority of the data warehousing traffic and critical infrastructure
components that power our partner integrations. You'll focus on optimizing
SQLDrivers for performance, improved reliability and telemetry to offer seamless
connectivity to our partners and enterprise customers, while also maintaining
open source repositories and actively engaging with the developer community. You
will collaborate with cross-functional teams to 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 customer satisfaction.

The impact you'll have:

As a Senior Software Engineer working on the Partner Ecosystem team, you will
get to build and evolve a set of highly performant and resilient Databricks SQL
connectors for partners and enterprise customers enabling them to connect to
Databricks SQL seamlessly and derive meaningful insights from data. In addition
to that, you will get to evolve our Partner Connect offering, helping grow the
elite partner ecosystem within Databricks.You will achieve this by being
customer obsessed, raising the bar on open source community engagement, being
hands-on in building the product, closely collaborating with the product team.
You’ll work on challenges such as:

* Building reliable SQL connectors
* Engage and grow the open source community around SQL connectors
* Work closely with the SQL server teams, delivering new features to the SQL
connectors, as per customer needs.
* Work closely with product team to shape the future of Partner Connect, thus
growing the partner ecosystem around Databricks

What We Look For

* BTech (or higher) in Computer Science, or a related field
* 7+ years of production level experience in one of: Java, Python, Go, or
similar language
* Comfortable working towards a multi-quarter vision with incremental
deliverables
* Proven track record in architecting, developing, deploying, and operating
highly performant systems
* Experience with open source communities through maintaining or contributing
to open source repositories
* Demonstrated ability to lead engineering projects across functional and
organizational boundaries
* Ability to navigate ambiguity and work with stakeholders to bring clarity and
design innovative solutions to complex problems

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
[https://twitter.com/databricks], LinkedIn
[https://www.linkedin.com/company/databricks] and Facebook
[https://www.facebook.com/databricksinc].

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
[https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing].

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.