Sr. Solutions Engineer - Digital Native Business, FinTech

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.  #LI-REMOTE

As a Sr. Solutions Engineer on the Digital Natives  team,  you will  shape the future of the big data landscape by working with the most  sophisticated  data engineering and data science teams in the world.

Reporting to the  Field Engineering Manager,  you will   collaborate with FinTech customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will  guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

You will  partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.

Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications

Collaborate  with your fellow Solutions Architects, using your skills to support each other and our users

Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

3+ years in a  data engineering, data science, technical architecture, or similar pre-sales/consulting role

Experience building distributed data systems

Comfortable programming in, and debugging, Python and SQL

Have built solutions with public cloud providers such as AWS, Azure, or GCP

Expertise in one of the following:

Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )

Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, pytorch, Tensorflow )

Available to travel to customers in your region

[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Pay Range Transparency

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 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 click here .

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.