Overview
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, collaborating 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, guiding them to accelerate usage on Databricks workloads and maximizing the value they get from our platform.
Responsibilities
- 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 chosen 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 services 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 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 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 & 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.
Qualifications
- 7+ 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.
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 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 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.
Local Pay Range
$180,000—$247,500 USD
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 the following URL: https://www.mybenefitsnow.com/databricks.
Equal Employment Opportunity
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.