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Delivery Solutions Architect

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2013H1B SponsorCompany SiteLinkedIn

Location

Italy

Posted

145 days ago

Salary

0

Seniority

Senior

Bachelor Degree6 yrs expEnglishPythonScalaSQL

Job Description

Delivery Solutions Architect

Databricks

• 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.

Job Requirements

  • 6-10 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 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 resolving complex and important escalation 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.

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.

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