Databricks Logo

Databricks

Sr. Solutions Engineer

Job Posted 2 Days Ago Posted 2 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in California
136K-209K Annually
Senior level
Remote
Hiring Remotely in California
136K-209K Annually
Senior level
As a Sr. Solutions Engineer, you will lead technical strategies for enterprise accounts, focusing on data-driven transformations and adoption of Databricks products. You will mentor team members, establish virtual teams, and work closely with clients to enhance their use of ML and AI solutions.
The summary above was generated by AI

REQ FEQ126R117

Location: San Francisco Bay Area, CA

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the US.

Mission

We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space.

Outcomes

  • You work with multiple clients as the main technical voice for Databricks.
  • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
  • You implement the technical strategy in the account, in close understanding of the strategy.
  • You build a movement of technical champions within the account.
  • You align technical strategies around Databricks solutions.
  • You provide structured mentorship for other team members.
  • Gain the respect of your peers based on your experience, insight, and contributions.

Competencies:

  • Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
  • Experience working very large (> $1m ARR), global accounts.
  • Form relationships with executives and influencers.
  • Present a convincing point-of-view to important decision-makers that leads them down a path of success.
  • Technical in big data, data science and cloud.
  • An ability in data-driven business transformation, and driving change with data.
  • Production programming experience in Python, R, Scala or Java
  • Nice to have: Databricks Certification

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

$136,400$209,200 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, please visit https://www.mybenefitsnow.com/databricks. 

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.

Databricks San Francisco, California, USA Office

160 Spear Street, San Francisco, CA, United States, 94105

Similar Jobs

6 Days Ago
Remote
Hybrid
United States
150K-183K Annually
Mid level
150K-183K Annually
Mid level
Cloud • Information Technology • Security • Software • Cybersecurity
As a Senior Solutions Engineer, you'll manage technical sales for Cloudflare, build customer relationships, and ensure user success with the platform.
Top Skills: BashCloudflareJavaScriptPython
10 Days Ago
Remote
Hybrid
7 Locations
121K-201K Annually
Senior level
121K-201K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
As a Sr. Manager, Data Solutions Engineer at Pfizer, you will design and implement data solutions, oversee scalable data architectures, and lead projects focused on data integration and analytics. You will collaborate with teams to develop technology solutions and ensure compliance with regulations while driving business outcomes and enhancing data quality.
Top Skills: Analytical ReportingData LakesData MappingData MiningETLMetadataRelational Database ArchitectureWeb-Based Analytics Solutions
20 Days Ago
Easy Apply
Remote
Hybrid
United States
Easy Apply
Junior
Junior
Artificial Intelligence • Big Data • Hardware • Software • Business Intelligence
As a Senior Solutions Engineer at Sisense, you will engage in pre-sales technical support, collaborating with account executives to demonstrate the value of Sisense. Responsibilities include leading technical discovery sessions, managing proof of concept projects, and interfacing with internal teams to ensure smooth transitions from pre-sales to post-sales processes.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account