Sr. Technology Partner Director, Business Applications

FEQ327R144 As a Partner Solutions Architect, you will focus on cultivating technical relationships with one of our largest Global C&SI partners. You will strengthen our relationships with key data and application leaders to accelerate indirect revenue, enable their data and application development practices, and execute on long-term GTM strategy. The impact you will have: * Strategic Technical Partnership: Be a technical partner and thought leader to the Databricks GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. You will embed with the partner technical teams to enable their practices, support troubleshooting, evangelize Databricks in their developer communities, and serve as an escalation point for complex technical issues. * Joint Solution Development: Collaborate with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment. * Customer Deal Support: Intervene directly to unblock strategic customer deals where the partner is the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. * Partner Ecosystem & Events: Represent Databricks at partner events (PKO, DAIS, EBC, etc), customer workshops, AWS/Azure summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.  * Product Feedback: Validate and gather feedback on Databricks products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant product teams to inform product roadmap and partner strategy. What we look for: * 8+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager * Track record of successfully partnering with Global C&SIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery * Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering & IT teams, and more * Strong presentation & technical communication skills with technical and business stakeholders * Familiarity with common Agentic frameworks, application development, or a background in machine learning or data science * Excitement to engage in cross-organizational collaboration, working through trade-offs, and balancing competing priorities * A love of teaching, mentoring, and helping others succeed * Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing AI systems * Can travel up to 30% when needed   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 $219,100—$301,300 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.

FEQ227R18   As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.   The impact you will have:  ● You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.  ● Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.  ● You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.  ● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.  ● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.   What we look for:  ● 3+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:  ● Big data engineering (Ex: Spark, Hadoop, Kafka)  ● Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)  ● Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)  ● Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)  ● Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.  ● Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.  ● Fluent in SQL and database technology.  ● Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.  ● [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP ● [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)  ● Travel to customers in your region up to 30% of the time.   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.