Databricks

Solutions Engineer

• Work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform
• Provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks
• 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.
• Provide an escalated level of support for customer operational issues.
• 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

Big Data Solutions Architect – Professional Services

• You will work on a variety of impactful customer technical Big Data projects which may include building reference architectures, how-to's and production grade MVPs
• 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 strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• 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.

Resident Solutions Architect

Field Engineer

• Hire and develop a team of deeply technical field engineers capable of guiding AI native customers across a wide range of data, analytical, and AI workloads.
• Adapt the team's skills and engagement model to match the needs of digital and AI native customers
• Consistently meet or exceed targets by making sure the team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle
• Travel to customer sites for executive sessions, technical workshops, and building relationships
• Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team
• Stay current with emerging Data and AI trends in the digital native tech sector

Senior Manager, Field Engineering – AI Natives

• Partner with customers to design scalable data architectures using Databricks technology and services.
• Work with Sales and essential partners to develop account strategies for assigned accounts to grow their usage of the platform.
• Establish the Databricks Lakehouse architecture as the standard data architecture for customers.
• Build and present reference architectures and demo applications for prospects.
• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects.
• Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities.

Senior Solutions Architect – Digital Native Business

Account Executive

• Secure new Enterprise accounts across multiple customers, creating a strong foundation for long-term partnerships.
• Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets.
• Identify and close quick wins while managing longer, complex sales cycles.
• Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• Use a solution-based approach to selling and creating value for customers.
• Develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

Enterprise Hunter Account Executive

• You will have a direct influence on the data strategy of the leading retail & travel companies today
• You will allocate Databricks resources to break into new accounts and grow existing relationships
• Meet with C-Level Executives to Practitioner level, both IT & business, to demonstrate Databricks can make an impact on business outcomes
• You will communicate account strategy to Databricks Senior Leadership on a regular basis
• Exceed activity, pipeline, and revenue targets
• You will use a creative, fail-fast approach to prospecting, selling and creating value for customers
• You will build a plan for success internally at Databricks and externally with your accounts

Enterprise Account Executive – Retail, CPG

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

Core Account Executive

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers. • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts. • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks. • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations. • Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise. • Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals. • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs. • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: • Main use cases moving from ‘win’ to production. • Enablement / user growth plan. • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision). • Organic needs for current investment (e.g. cloud cost control, tuning & optimization). • Executive and operational governance. • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM.

Big Data Solutions Architect – Professional Services

Resident Solutions Architect

Senior Manager, Field Engineering – AI Natives

Senior Solutions Architect – Digital Native Business

Enterprise Hunter Account Executive

Enterprise Account Executive – Retail, CPG

Core Account Executive

Delivery Solutions Architect

Core Account Executive