Delivery Solutions Architect - Zurich, Schweiz - Databricks

Databricks

Geprüftes Unternehmen

Zurich, Schweiz

vor 1 Woche

Geschrieben von:

Lena Schneider

beBee Recruiter

Beschreibung

At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Lakehouse 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 accounts.

As a DSA, you will 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.

This is a hybrid technical and commercial role.

It is commercial in the sense that you will own and drive growth in your assigned customers and use cases through leading your customers' stakeholders, owning executive relationships 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 at least Level 200 across all Databricks products/workloads and that you become the Use Case-specific technical lead post Technical Win.

This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.

You will report directly into a DSA manager as part of your Department's Technical GM organisation.

The impact you will have:

You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers.
Lead the Post-Technical Win technical account strategy and investment 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, golive and healthy consumption of the workloads where the customer has made the decision to consume Databricks.
You will 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 of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts to build the right tasks that are beyond your scope of activities or expertise.
Create, own and execute a pointofview as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals.
Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs.
Develop mutual success plan that covers all activities of all customerfacing 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 Eg. 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 our customers.
Experience in a customerfacing presales, technical architecture, customer success, or consulting role
Understanding of solution architecture related distributed data systems
A 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 openended 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

Benefits

Life, accident and disability coverage
Company pension with employer contribution
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel insurance

About Databricks
Databricks is the lakehouse company.

More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI.

Databricks is headquartered in San Francisco, with offices around the globe. Founded