Databricks

Solutions Engineer

• 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 the 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

Delivery Solutions Architect – Public Sector

• Engage with Solutions Architects to understand use case demand plans for prioritized customers
• Lead post-technical win account strategy and execution plan
• Act as accountable technical leader for specific use cases and customers
• Address technical issues related to production/go-live status
• Leverage internal resources and escalate to experts as needed
• Create and execute strategies for accelerating key use cases into production
• Collaborate with Databricks Product and Engineering teams
• Develop execution plans covering customer-facing technical roles and activities
• Provide KPI reporting on usage and customer health

• 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

Delivery Solutions Architect – Digital Native Business

Recruitment

• Advise and partner with managers and directors in our Engineering organization
• Full-cycle recruiting from source to close for technical intern and new grad candidates
• Partner with UR Team to assist with team matching and allocation
• Plan & host university recruiting events
• Manage high volume while maintaining excellent candidate experience and data integrity

University Recruiter – Contract

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• 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
• Travel to customers in your region

Solutions Architect – Public Sector

• Engage with Solutions Architects to understand the full use case demand plan for prioritized 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.
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production.
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover various work streams.
• Provide internal and external updates - KPI reporting on the status of usage and customer health.

Senior Delivery Solutions Architect – Manufacturing

• Engage with Solutions Architects to understand the full use case demand plan for prioritized 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

• Engage with Solutions Architects to understand use case demand for prioritized customers
• Lead post-technical win technical account strategy and execution for key accounts
• Be accountable technical leader for customer use cases across teams
• Serve as first contact for technical issues related to production/go-live
• Leverage shared services, user education, and support for customer success
• Create and execute plans to accelerate key use cases into production
• Navigate Product and Engineering teams for innovations and support

• Engage with Solutions Architects to understand full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for Databricks use cases within strategic accounts
• Be accountable technical leader assigned to specific use cases and customers across multiple selling teams
• Be first contact for any technical issues or questions related to production/go-live status of agreed-upon use cases
• Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating to expert-level when needed
• Create, own, and execute a point-of-view on accelerating key use cases into production, coordinating with Professional Services on delivery of proposals
• Navigate Databricks Product and Engineering teams for innovations, private previews and upgrade needs
• Develop an execution plan covering all activities of customer-facing technical roles and teams for various work streams
• Provide internal and external updates, KPI reporting on usage status and customer health.

Delivery Solutions Architect – U.S. Federal Sector

• 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 the 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

Data Engineer

• 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 that lead to a customer's 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.

Senior Big Data Engineer

Product Marketing

• Serve as the primary point-of-contact for senior GTM stakeholders at Anthropic, OpenAI, and Google, cultivating trusted, multi-threaded relationships at each level of the org chart across sales and field engineering.
• Build and manage a QBR and Executive Business Review cadence with each AI partner, anchored on shared GTM goals and co-sell programs.
• Develop and maintain partnership co-sell KPIs and the overarching partner GTM governance framework to provide visibility into the health of programmatic co-sell motions.
• Develop and execute an overarching co-sell strategy across AI Lab partners, including account segmentation and propensity analysis to identify high-impact joint opportunities.
• Plan and operationalize in-person and virtual co-sell programs — including co-sell days, joint pipeline reviews, and partner-led field events — to accelerate top-of-funnel growth and mid-funnel conversion.
• Deliver regular program performance readouts to global sales and partnership leadership, surfacing insights and recommending course corrections.
• Build and manage streamlined partner funding programs designed to accelerate customer adoption of AI solutions
• Collaborate with enablement and commercialization teams within Databricks to drive board awareness & utilization of funding and customer success programs.
• Partner with product, engineering, and commercial teams to shape the long-term AI model integration roadmap and develop compelling 'better together' messaging for each AI Lab relationship.
• Collaborate with industry GTM teams, ISV and consulting partners, marketing, and corporate development to build joint sales plays, offers, and assets that grow top-of-funnel and increase conversion.
• Develop and maintain field enablement content to equip internal & external field teams with the knowledge and tools to execute on joint GTM priorities and articulate differentiated 'better together' value propositions.

Senior Alliance Director, AI GTM

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems
• Work directly with prospective, greenfield customers on their 0 to 1 journey with Databricks
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows
• Collaborate with fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community

Delivery Solutions Architect – Public Sector

Delivery Solutions Architect – Public Sector

Delivery Solutions Architect – Digital Native Business

University Recruiter – Contract

Solutions Architect – Public Sector

Senior Delivery Solutions Architect – Manufacturing

Senior Delivery Solutions Architect – Manufacturing

Senior Delivery Solutions Architect – Manufacturing

Delivery Solutions Architect – U.S. Federal Sector

Delivery Solutions Architect – U.S. Federal Sector

Delivery Solutions Architect – U.S. Federal Sector

Delivery Solutions Architect – Public Sector

Senior Big Data Engineer

Senior Alliance Director, AI GTM

Solutions Architect, Hunter – Digital Native Business