Delivery Solutions Architect at Databricks

Delivery Solutions Architect at Databricks — BranchFactor

BranchFactor Summary

The original posting with the fluff stripped out

Expected experience: 5+ yrs
Management level: People management

Compensation

Base salary	US$180,000 – US$247,500 / yr

Role speciality

No unique specialisation

Useful technologies

PythonSQLScala

Preferred qualifications

Field of studyEngineering, Information Systems, Computer Science (or related)

Study levelBachelor's

Original posting

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 in your 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.

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 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