Sr. Solutions Engineer

Overview

Databricks is a data and AI company. Our mission is to make data science and analytics accessible by creating a unified platform that helps customers solve complex data challenges. You will join a collaborative, customer-focused team that values innovation and creativity, using your technical expertise to demonstrate how our Data Intelligence Platform can guide customers forward. This role is located in Queensland, Australia.

The impact you will have

• 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.

What we look for

• 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, Java, or Scala.
• 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 design.

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, LinkedIn 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, please visit

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 for this job

* indicates a required field

First Name *

Last Name *

Preferred First Name

Email *

Phone *

Resume/CV *

Attach: Enter manually. Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter: Attach: Enter manually. Accepted file types: pdf, docx, txt, rtf

LinkedIn

Profile

Website

How did you hear about this job? *

Are you legally authorized to work in the country in which you are applying? *

Do you now or will you in the future need sponsorship for employment visa status in the country in which you are applying? *

Do you currently or have you previously worked for Databricks in the past? *

#J-18808-Ljbffr

---