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Delivery Solutions Architect
Delivery Solutions ArchitectDatabricks • WorkFromHome, Auckland, New Zealand
Delivery Solutions Architect

Delivery Solutions Architect

Databricks • WorkFromHome, Auckland, New Zealand
17 days ago
Job description

CSQ327R17 At Databricks, we are on a mission to empower our customers to solve the world’s toughest data problems through the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA) you will collaborate with sales and field engineering teams to accelerate adoption and growth of the platform in your customers, while ensuring customer success by focusing on technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads 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 that drives growth in your assigned customers and use cases through leading stakeholders, building executive relationships, and orchestrating focused teams within Databricks. Paralleling this commercial focus, you will become the post‑sale technical lead across all Databricks products, engaging and communicating at all levels with the organization. You will report directly to a DSA Manager within the Field Engineering organization.

The Impact You Will Have

  • Engage with Solutions Architects to understand the full use‑case demand plan for prioritized customers.
  • Lead the post‑technical win 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 decided 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, often servicing multiple use cases within the largest and most complex organizations.
  • Leverage 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 activity or expertise.
  • Create, own and execute a point‑of‑view on 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.
  • What We Look For

  • 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and 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.
  • About Databricks

    Databricks is the data and AI company. More than 10,000 organizations worldwide – including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 – rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™ , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

    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 .

    Our Commitment to Diversity and Inclusion

    At Databricks, 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, color, 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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