• Lead and develop the Solutions Engineering team, setting a high bar for technical rigor, customer experience, and cross-functional collaboration • Define how Solutions Engineering supports the full customer lifecycle, from technical discovery and pre-sales architecture through handoff, implementation, and ongoing expansion • Partner closely with GTM leadership to improve technical win rates and reduce friction in complex deals • Serve as the senior technical advisor on high-priority opportunities and strategic partner relationships • Guide technical discovery, solution design, and integration planning across customers and strategic partners • Build scalable playbooks and frameworks for discovery, integration scoping, architecture design, security reviews, and launch readiness • Improve predictability across deals by identifying technical risks early and ensuring implementation readiness before contracts are signed • Partner with Product, Engineering and GTM to surface recurring product gaps and influence roadmap priorities • Develop reusable architecture patterns, demos, and technical enablement assets that increase field productivity • Ensure clean handoffs between pre-sales solutioning and implementation to improve launch timelines and customer outcomes • Identify opportunities to simplify and standardize integration patterns across common partner and merchant use cases • Hire, develop, and manage a high-performing Solutions Engineering team that multiple teams across the company • Help define Truemed’s external technical narrative, ensuring prospects and partners understand how Truemed’s platform, workflows, and integrations deliver business value

• Develop, extend, and support DomainTools’ integrations with SEIMs, TIPS, orchestration platforms, open source security projects, and similar systems • Help maintain development, testing, and demo environments for integration systems • Become a subject matter expert on the DomainTools integration APIs • Work with the sales and support engineering teams to help diagnose customer issues • Contribute to customer-facing technical documentation • Analyze new security products targeted for integration and help the product team create meaningful use cases and feature sets • Add features to DomainTools’ core products that integrate them more closely with third-party security tools

• Discover and analyze individual customer goals and challenges and map those to the Salesforce solution portfolio. • Earn the 'technical win' by providing functionally compelling and relevant customer presentations, including demonstrations. • Respond optimally to RFX’s • Proactively research and develop technical Points of View in alignment with Industry knowledge and understanding of the customer organization’s vision/mission. • Design innovative solutions to address challenges and build those solutions on the Salesforce platform. • Present customized story-driven demonstrations aligned with key business value and solution differentiation. • Build and maintain relationships with your sales team and primary contacts at your aligned accounts. • Provide customer feedback to the product management and engineering teams to capture new customer requirements and improvements. • Participate in training and certifications to acquire and maintain the knowledge necessary to be effective in role.

CSQ227R87 Candidates located in Central and Eastern Time Zone can also be considered for this position As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: - You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases - Work with engagement managers to scope variety of professional services work with input from the customer - Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications - Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. - Provide an escalated level of support for customer operational issues. - You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. - Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: - 9+ years experience in data engineering, data platforms & analytics - Comfortable writing code in either Python or Scala - Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one - Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals - Familiarity with CI/CD for production deployments - Working knowledge of MLOps - Capable of design and deployment of highly performant end-to-end data architectures - Experience with technical project delivery - managing scope and timelines. - Documentation and white-boarding skills. - Experience working with clients and managing conflicts. - Experience in building scalable streaming and batch solutions using cloud-native components - Travel to customers up to 20% of the time - 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 the expected 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 anticipated 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. Zone 1 Pay Range $180,656—$248,360 USD Zone 2 Pay Range $180,656—$248,360 USD Zone 3 Pay Range $180,656—$248,360 USD Zone 4 Pay Range $180,656—$248,360 USD 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. Zone 3 Pay Range $180,656—$248,360 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.