Collaborate with Sales and Field engineering teams to accelerate the adoption and growth of the Databricks platform and help ensure customer success by increasing focus and technical accountability to the most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected; own and drive growth in the assigned customers and use cases through leading the customers’ stakeholders, creating and driving plans and strategies for Databricks colleagues to build upon. Detailed job duties include: Engage with the Solutions Architect to understand the full User Case Demand Plan for prioritized customers; Lead the post-technical win technical account strategy and investment plan for the majority of Databricks Use Cases within the most strategic accounts; Be the accountable technical leader assigned to specific Use Cases and customers 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 User Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations; Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 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, bringing EM/PM in to prepare Professional Services proposals; Navigate Databricks product and Engineering teams for New Product Innovation, Private Previews and Upgrade needs, including: 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 Eg. Cloud Cost control, Tuning & Optimization; Executive and operational governance. $182,187 - $200,000/year. Minimum job requirements: Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Management information Systems or related field and at least five years of experience. Wil accept Master’s degree plus three years of experience in lieu of Bachelor’s degree plus five years of experience. Must have experience in the following areas: Programming experience with at least one of the following: Python, SQL or Scala; Experience with architecture related distributed data systems; Experience in designing cloud-based data ingestion and data integration (ETL/ELT) pipeline; Experience in designing solutions on one of the following cloud infrastructure and services: AWS, Azure or GCP; Technical program or project management experience including account, stakeholder and resource management accountability. May telecommute from any US location.