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Delivery Solutions Architect
Delivery Solutions ArchitectDatabricks • Miami, FL, United States
Delivery Solutions Architect

Delivery Solutions Architect

Databricks • Miami, FL, United States
4 days ago
Job type
  • Full-time
Job description

Databricks is on a mission to empower our customers to solve the world's toughest data problems using the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play a critical role in collaborating with our sales and field engineering teams to accelerate adoption and growth of the platform, and ensure customer success by providing technical guidance to complex accounts.

This is a hybrid technical and commercial role : you will drive growth in assigned customers, lead executive relationships, orchestrate specialized teams, and simultaneously serve as the post‑sale technical lead across all Databricks products. 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 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 decided to use 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, and 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 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 covering all activities of customer‑facing technical roles and teams, including :

  • Main use cases moving from ‘win’ to production
  • Enablement and 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 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 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 through work experience
  • Can travel up to 30% when needed
  • Pay Range Transparency

    Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected base salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

  • 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 worldwide— including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500— rely on the Databricks Data Intelligence Platform to unify and democratise 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.

    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 https : / / www.mybenefitsnow.com / databricks .

    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 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 licence for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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