At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the 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 into one of our largest AI native 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 maximise the value they get of 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 account and use

cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized

teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in

parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

This requires you to use your skills and technical credibility to engage and communicate 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 the full use case demand plan for prioritized 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

What we look for:

7+ 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

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and

represents 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. For more information regarding which range your

location is in visit our page here.

Local Pay Range

$219,100—$301,300 USD

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 click here.

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.

Role

Sr. Delivery Solutions Architect - AI Native

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Delivery Solutions Architects

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