• Collaborate with the sales team to facilitate information gathering sessions for both product demonstration and functional scoping purposes. • Lead in-depth discussions with clients to understand their technical requirements and objectives. • Design and present high-impact, integrated SAP demonstrations that align with client needs and strategic goals. • Provide technical insight for proposal responses, RFPs, and other documentation. • Build technical documentation, diagrams, demos and proofs of concept to support client solutions, with a consultative approach to identifying existing and prospective client needs and articulating Argano’s technical value proposition. • Stay updated on industry trends, emerging technologies, and competitive intelligence. • Play a key role in getting to proof of value for the clients. Provide transition knowledge to Argano delivery teams. • Foster strong relationships with SAP to drive innovation and keep abreast of application changes and upgraded functionality. • Conduct advanced product training sessions for internal teams and clients. • Collaborate with the entire pre-sales team to build and maintain an integrated Argano SAP demo environment.

CSQ127R310 Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role. As a Big Data Solutions Architect (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 or implement customer 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: - 6+ 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 Spark runtime internals - Familiarity with CI/CD for production deployments - Working knowledge of MLOps - Design and deployment of 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. - Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. - Travel to customers 20% of the time - 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 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.

• Join Evolv’s Technical Sales & Solutions (TS&S) team as an Associate Solutions Engineer focused on deployments. • Installing systems, training operators, and supporting go-lives. • Contribute to site surveys and pre-sales activities like pilots and demos. • Ensure smooth deployments and exceptional customer experiences, bridging the gap between technical execution and customer success.

• Act as Lead Solution Architect for Ensono’s most complex and strategic client initiatives and enterprise pursuits • Lead executive-level discovery and strategy conversations to gain buy-in for transformational, multi-platform solutions • Design and own end-to-end solution architectures spanning cloud, hosting, network, security, storage, DR, DevOps, and governance • Partner with Sales, Consulting, Product Management, PMO, and Delivery teams to create integrated pursuit, solution, and execution strategies • Develop and present compelling technical solutions and business cases to executive, technical, and financial stakeholders • Create and oversee solution and migration plans, from high-level program frameworks to detailed project plans and cutover runbooks • Lead architecture efforts through critical migration milestones including testing, cutover, stabilization, and operational handoff • Collaborate with finance and pricing teams to develop complex, multi-year financial and pricing models • Influence Ensono product and technology roadmaps by providing structured client and market feedback • Drive higher-value, value-added services aligned to Ensono’s strategic offerings • Mentor and guide other Solution Consultants, sharing best practices and raising architectural and consultative standards across the organization