• Partnering with a Sales Account Executive to engage in technical discussions with customers throughout the buying lifecycle. • Working cross functionally with product marketing, and independently, to create and deliver high fidelity presentations, custom demos, sample solutions, and present use cases to guide the customer through the buying journey • Closely partnering with customers and platform builders to solve technical and business challenges which enables them to design, build and implement Crossplane and Upbound Cloud based control plane architectures. • Working directly with customers and platform builders to define, implement, and test out early proof of concepts of Crossplane and Upbound Cloud. • Collect detailed customer requirements so product and engineering can accurately estimate and resource the necessary implementation services. • The technical voice and trusted advisor to the customer and represent the customer needs internally. • Project manage the account pre and post sale to ensure a smooth and frictionless customer experience through implementation in partnership with Solutions Architect and implementation teams.

FEQ426R545 Mission As a Sr. Specialist Solutions Architect (SSA) - Data Warehousing , you will guide customers in their cloud data warehousing transformation with Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large scale data warehousing technologies and lake house architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning competitive evaluations, architecture design, and production migration planning. The impact you will have: - Provide technical leadership to guide strategic customers to successful cloud transformations on large scale data warehousing workloads - ranging from evaluation to architecture design to production deployment. - Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization. - Become a technical expert in an area such as competitive data warehousing evaluations or helping set up successful workload migrations. - Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production. - Provide tutorials and training to improve community adoption (including hackathons and conference presentations) - Contribute to the Databricks Community. What we look for: - 8+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDW systems. - Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP. - Deep Specialty Expertise in at least one of the following areas: - Experience scaling large analytical data workloads in the cloud that are performant and cost-effective. - Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools. - Experience successfully migrating on-premise EDW workloads to the public cloud. - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience. - Production programming experience in SQL and Python, Scala, or Java. - Experience with the AWS, Azure, or GCP clouds is highly desirable. - 7 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads) - 5 years customer-facing experience in a pre-sales or post-sales role - Can meet expectations for technical training and role-specific outcomes within 6 months of hire - This role can be remote, but we prefer that you be located in the job listing area and 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, 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.

Location: USA – 100% remote, West Coast or Central. Akeyless Security delivers a cloud-native SaaS platform that integrates Vaultless Secrets Management with Certificate Lifecycle Management, Next Gen Privileged Access Management (Secure Remote Access), and Encryption Key Management to manage the lifecycle of all machine identities and secrets across all environments. Trusted by Fortune 100 companies and industry leaders, Akeyless is redefining identity security for the modern enterprise, delivering the world’s first unified Secrets & Machine Identity platform designed to prevent the #1 cause of breaches – compromised identities and secrets. Backed by the world’s leading cybersecurity investors and global financial institutions including JVP, Team8, NGP Capital, and Deutsche Bank. As a Senior Solutions Architect at Akeyless, you will serve as the technical quarterback of the sales cycle, driving strategy, execution, and technical validation from first discovery to close. Partnering closely with Account Executives, you will engage Fortune 100 enterprises and high-growth innovators to solve complex identity and secrets management challenges. Your mission is to clearly articulate and demonstrate how Akeyless transforms security operations- simplifying secrets management, eliminating vault sprawl, enabling Zero-Knowledge protection, and delivering a modern, scalable alternative to traditional, fragmented security approaches. You will translate business pain into technical solutions, lead architectural discussions, run proof-of-value engagements, and position Akeyless as the strategic identity security platform for the modern enterprise. Responsibilities: - Technical Discovery & Strategy: Lead deep-dive technical discovery sessions to understand customer workflows across DevOps, Cloud, and Security teams. - Solution Architecting: Design and present tailored architectures that integrate Akeyless into diverse environments (Kubernetes, AWS/GCP/Azure, CI/CD pipelines, and hybrid-cloud). - Compelling Demonstrations: Deliver high-impact product demos that highlight the "Akeyless Advantage"-specifically our SaaS-native ease of use and zero-knowledge DFC™ encryption. - Proof of Value (PoV): Own the technical win by managing Proof of Concepts (PoCs). You will build test environments, automate secret rotation, and prove the platform's value in the customer’s own infrastructure. - Competitive Displacement: Use your deep knowledge of the secrets management landscape to effectively position Akeyless against competitors, focusing on TCO reduction and operational simplicity. - Voice of the Customer: Act as a bridge between the field and our Product/R&D teams, advocating for new features based on market feedback. - RFP & Security Reviews: Lead the technical response for RFIs/RFPs and navigate complex security/compliance audits with prospective CISOs. Requirements - 7+ years of experience in a pre-sales Solutions Architect or Sales Engineer role, preferably in Cybersecurity or DevOps. - Cloud & Containers: Hands-on proficiency with Kubernetes, Docker, and at least one major Cloud Service Provider (AWS, Azure, or GCP). - Modern Tooling: Familiarity with Infrastructure as Code (Terraform, Ansible), CI/CD (GitHub Actions, GitLab, Jenkins), and IAM protocols (SAML, OIDC, OAuth). - Security Domain Knowledge: Understanding of Secrets Management, PKI, SSH, and Privileged Access Management (PAM) is a significant plus. - Exceptional presentation skills and the ability to explain complex cryptographic concepts to both developers and executive stakeholders. - Ability to travel within the assigned territory as needed (up to 25-30%).

• Drive technical enablement and readiness across strategic partners to ensure long-term architectural self-sufficiency. • Partner with regional GTM teams to embed partner implementation strategies into early-stage planning and business alignment. • Architect scalable, secure solutions that integrate products into complex enterprise technology stacks. • Act as a technical bridge between the partner community and Product teams to influence global roadmaps. • Create reusable solution assets and technical documentation that help partners scale adoption.