
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
🔥 5 minutes ago
☕ Washington – Remote
💵 $180k - $247.5k / year
⏰ Full Time
🟠 Senior
🔴 Lead
💻 Solutions Engineer
🦅 H1B Visa Sponsor
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
• 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
• U.S. citizenship • 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers • Programming experience in Python, SQL or Scala • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role • Understanding of solution architecture related to distributed data systems • Understanding of how to attribute business value and outcomes to specific project deliverables • Technical program, or project management, including account, stakeholder and resource management accountability • Experience in resolving complex and important escalations with senior customer executives • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects • Track record of overachievement against quota, Goals or similar objective targets • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Can travel up to 30% when needed.
• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Apply Now🔥 59 minutes ago
201 - 500
Domain Architect at Raintree developing cloud-native healthcare technology platform. Transforming legacy applications into modern systems with deep expertise.
AWS
Cloud
Distributed Systems
GraphQL
Microservices
NoSQL
SQL
🔥 1 hour ago
Oracle Applications Architect enabling the growth of GDIT by leading ERP solutions and managing legacy transitions. Collaborating with cross-functional teams while ensuring data integrity and governance.
🇺🇸 United States – Remote
💵 $164.4k - $200k / year
⏰ Full Time
🟠 Senior
🔴 Lead
💻 Solutions Engineer
🦅 H1B Visa Sponsor
Cloud
ERP
Oracle
Oracle ERP
SOAP
SQL
🔥 1 hour ago
Senior Solutions Consultant driving data solutions for customer acquisition through proactive engagement and expert storytelling. Collaborating with sales and client success teams to deliver exceptional value throughout the sales cycle.
🇺🇸 United States – Remote
💵 $100k - $140k / year
💰 Series A on 2020-04
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
AWS
JavaScript
SFDC
SQL
Tableau
🔥 1 hour ago
Solutions Engineer at Summit, specializing in enterprise-class Application Hosting and Cloud Solutions. Role involves translating business requirements into scalable solutions across infrastructure and platform services.
🇺🇸 United States – Remote
💵 $125k - $145k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
AWS
Azure
Cloud
ERP
Linux
OpenStack
VMware
🔥 2 hours ago
Senior Director of Solutions Engineering overseeing pre-sales technical discussions and integrations for AI-native operating system in materials science. Collaborating with IT and scientific teams to ensure successful engagements.