Sr. Solutions Engineer - Public Sector (Defense Industrial Base)

While candidates in the listed locations are encouraged for this role, candidates in other locations will be

considered.

Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team,

we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our

team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta

Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales

teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through

the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build

champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team.

Important Eligibility Requirement:​ Due to contractual requirements supporting U.S. Public

Sector customers, this position requires U.S. citizenship. ​Candidates who are not

U.S. citizens are not eligible for consideration.

• Partner with the

sales team to help customers understand how Databricks can help solve their business problems

• Provide technical

leadership for customers to evaluate and adopt Databricks

• Consult on big data architecture, implement proof of concepts

for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and

other 3rd party applications

• Build and present references architectures, how-tos, and demo applications for

customers

• Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow,

and Koalas) across developer communities through meetups, conferences, and webinars

• Travel to customers in your

region

• U.S. citizenship​ is required due to

contractual requirements supporting U.S. Public Sector customers.

• 5+ years in a customer-facing pre-sales, technical

architecture, or consulting role

• Experience designing and architecting distributed data systems
• Comfortable

programming in and debugging in Python and SQL.

• Experience supporting Public Sector clients
• Have built solutions

with public cloud providers such as AWS, Azure, or GCP

• Expertise in at least one of the following:
• Data

Engineering technologies (Ex: Spark, Hadoop, Kafka)

• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
• [Desired] Degree in a

quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

Databricks is committed to fair and equitable compensation practices. The pay range(s)

for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for

commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including

but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this

position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information

regarding which range your location is in visit our page here.

Local Pay Range

$152,300—$209,450 USD

About

Databricks​

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.​