Location: Houston, TX | Austin, TX

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

We are seeking experienced pre-sales professionals with a proven track record in helping large enterprises in the Oil, Gas, and Energy sector become more data-driven. Working alongside the Enterprise Account Executive (AE), the Senior Solution Architect will define and direct the technical strategy for our most significant accounts, promoting the widespread use of our products and deeper adoption of ML & AI. You will leverage your strong background in value selling, technical account management, and technical leadership to drive success in these accounts. You will collaborate with a team that includes hands-on resources to build proofs of concept and demonstrate Databricks' capabilities. A deep understanding of the application of ML & AI in Oil, Gas, and Utilities use cases is essential.

The impact you will have:

• Serve as the primary technical voice for Databricks across multiple clients in the Oil, Gas, and Energy sector.
• Guide customers on a transformational journey, integrating Databricks into their strategic vision.
• Implement technical strategies that align with the specific needs of Energy accounts.
• Foster a network of technical champions within client organizations.
• Align Databricks solutions with industry-specific technical strategies, such as predictive maintenance and resource optimization.
• Provide structured mentorship to team members, sharing insights specific to the energy sector.
• Gain peer respect through your expertise and contributions in the Oil, Gas, and Energy domain.

What we look for:

• Expertise in establishing and leading virtual teams to success within large, global accounts in the energy sector.
• Experience with accounts exceeding $1 million ACV with a consumption model
• Experience forming relationships with executives and influencers in the energy industry.
• Present compelling points of view to decision-makers, guiding them towards successful data-driven transformations.
• Technical proficiency in big data, data science, and cloud technologies, with a focus on energy-specific applications.
• Experience in data-driven business transformation, ideally in optimizing energy production and distribution.
• Production programming experience in Python, R, Scala, or Java, with a preference for Databricks Certification.
• Familiarity with AI and ML applications in the energy sector, such as predictive maintenance, demand response management, and smart grid optimization

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• 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 base 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 utilizes 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.

 

Zone 1 Pay Range$169,000—$299,000 USDZone 2 Pay Range$169,000—$299,000 USDZone 3 Pay Range$169,000—$299,000 USDZone 4 Pay Range$169,000—$299,000 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.

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.