Senior Solutions Architect

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As a Senior Solutions Architect on the Digital Native Strategic team, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. Databricks' digital native customers are cloud-native organizations that rely heavily on data and AI to drive their businesses at global scale, leveraging AI and advanced analytics to power their products and operations. These customers include many recognized technology and digital services leaders.

Reporting to the Field Engineering Manager, you will collaborate with strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

• Partner with the sales team to provide technical leadership and help customers understand how Databricks solves their business problems.
• Work with the sales team to develop your book of business, define account strategies, and execute those strategies to help customers and prospects solve business problems with Databricks.
• Consult on Big Data architectures, implement proofs of concept for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows. Validate integrations with cloud services, home-grown tools, and other third-party applications.
• Collaborate with fellow Solutions Architects to support each other and our users.
• Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow) across the developer community.

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Comfortable programming in and debugging Python and SQL
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following areas:
• Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, PyTorch, TensorFlow)
• Ability to travel to customers in your region
• Databricks Certification is a plus

If your experience isn’t a perfect match for the job description, but you feel you’re a good fit for the role, apply. Databricks looks for smart, passionate people who are good at their jobs, and often those people have non-linear career paths.

Databricks is the data and AI company. More than 10,000 organizations worldwide 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 creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Comprehensive health coverage including medical, dental, and vision; 401(k) Plan; equity awards; flexible time off; paid parental leave; family planning; gym reimbursement; Employee Assistance Program (EAP).

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 base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation is based on factors including skills, depth of experience, certifications, and location. The total compensation package may include annual performance bonus, equity, and the listed benefits. For more information regarding ranges by location, visit our page.

Zone 1 Pay Range: $196,200 — $274,650 USD

Zone 2 Pay Range: $196,200 — $274,650 USD

Zone 3 Pay Range: $196,200 — $274,650 USD

Zone 4 Pay Range: $196,200 — $274,650 USD

Diversity, Inclusion & Compliance

Databricks is committed to fostering a diverse and inclusive culture and to equal employment opportunity standards. We do not discriminate based on age, color, disability, ethnicity, gender identity or expression, language, national origin, physical or mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, or other protected characteristics.