Senior Solutions Engineer

At Databricks, our core principles are at the heart of everything we do; creating a culture of

proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics

accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a

user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity,

experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to

demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a

collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to

help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with

data and make a better world!

• Form successful relationships with clients

throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior

Solutions Architect.

• Gain excitement from clients about Databricks through hands-on evaluation and Spark

programming, integrating with the wider cloud ecosystem and 3rd party applications.

• Contribute to building the

Databricks technical community through engagement at workshops, seminars, and meet-ups.

• Become a Big Data

Analytics advisor on aspects of architecture and design.

• Support your customers by authoring reference

architectures, how-tos, and demo applications.

• Develop both technically and in the pre-sales aspect with the

goal of becoming an independently operating Solutions Architect.

Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with

important interests, and achieving tangible outcomes.Ability to independently deliver a technical proposition, identify customers'

pain-points, and explain important areas for business value to develop a trusted advisor skillset.

• Code in a core programming language such as Python.

Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept

and an understanding of a major public cloud platform.

• Experience diving deeper

into solution architecture and Data Engineering.

Databricks is the Data and AI company. More than 20,000 organizations worldwide —

including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data +

AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the

globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

​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.

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.

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.​