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At Databricks, our values are central to everything we do. Our proactive, customer-focused culture drives us to create a unified platform that makes data science and analytics accessible to everyone.
Our goal is to empower our customers with the tools they need to make informed decisions that grow their business. Our platform is user-friendly and intuitive, making it easy to turn insights into action and encouraging a culture of creativity, experimentation, and continuous improvement.
As a Senior Solutions Engineer, you will play an important role in our mission. Using your technical expertise, you will show our customers how the Data Intelligence Platform can help solve their complex data challenges. Working with a collaborative, customer-focused team, you will use your skills to develop custom solutions that help our customers achieve their goals and move their businesses forward. You'll grow as a leader in your field while finding solutions to our customers' biggest challenges in big data, analytics, data engineering, and data science. You will report to the Manager of Field Engineering.
The impact you will have:
- Form successful relationships with clients and partners throughout your assigned territory, collaborating with Account Executives and Solutions Architects to help Databricks customers realize business value
- Operate as a Data & AI expert to get customers excited about our product. You will develop into a 'champion' and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Intelligence platform.
- Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
- Orchestrate a wider team to secure a technical win, also against challenging customer demands
What we look for:
- You will be experienced in engaging customers in technical sales, challenging their questions, guiding clear outcomes, discovering new use cases, and communicating technical and value propositions
- You are at ease developing customer relationships and building internal partnerships with account executives and teams
- You can switch between speaking to technical and non-technical audiences and on different hierarchy levels
- You bring prior experience coding in a core programming language (i.e. Python, Java, Scala) and familiarity with distributed computing, e.g., using Apache Spark.
- You bring prior experience in building AI solutions and app building
- You feel comfortable being hands-on to support proofs of concept in areas such as big data processing, streaming, data governance, machine learning, and business intelligence across at least one major cloud platform.
- You have a curiosity for the business applications of technology, and can demonstrate that you understand the business challenges in a vertical you have worked in before
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.
Skills Required
- Experience in solutions engineering
- Familiarity with data analytics and AI technologies
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
