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Delivery Solutions Architect

Delivery Solutions Architect

DatabricksChicago, IL, United States
18 hours ago
Job type
  • Full-time
Job description

Join to apply for the Delivery Solutions Architect role at Databricks .

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused / specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. In parallel, you will be the technical lead across all Databricks products, engaging and communicating at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.

The Impact You Will Have

  • Engage with Solutions Architects to understand full use case demand plans for prioritised customers
  • Lead the post-technical win technical account strategy and execution plan for 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, driving onboarding, enablement, success, go?live and healthy consumption of the workloads where the customer has decided 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, often serving multiple use cases within the largest and most complex organisations
  • Leverage Shared Services, User Education, Onboarding / Technical Services and Support resources, escalating to expert?level technical experts, to build the right tasks 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 to deliver 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 following 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 & optimisation)
  • Executive and operational governance
  • Provide internal and external updates KPI reporting on usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM
  • What We Look For

  • 5+ years of experience where you have been accountable for technical project / program delivery within Data and AI, contributing 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 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
  • Bachelors degree in Computer Science, Information Systems, Engineering or equivalent experience through work experience
  • Can travel up to 30% when needed
  • Remote

    LI#Remote

    Pay Range Transparency

    Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected base salary range for non?commissionable roles or on?target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidateincluding job?related skills, depth of experience, relevant certifications and trainingand specific work location.

    Zone 1 Pay Range : $161,300$225,800 USD

    Zone 2 Pay Range : $161,300$225,800 USD

    Zone 3 Pay Range : $161,300$225,800 USD

    Zone 4 Pay Range : $161,300$225,800 USD

    About Databricks

    Databricks is the data and AI company. More than 10,000 organisations worldwideincluding Comcast, Cond?Nast, Grammarly and over?50% of the Fortune?500rely on the Databricks Data Intelligence Platform to unify and democratise data, analytics and AI. Databricks is headquartered in San?Francisco, with offices worldwide and was founded by the original creators of Lakehouse, Apache?Spark, Delta?Lake and MLflow.

    Benefits

    At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please visit .

    Our Commitment to Diversity and Inclusion

    We are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, colour, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio?economic status, veteran status and other protected characteristics.

    Compliance

    If access to export?controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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