← Back to results

Delivery Solutions Architect

Join Databricks as a Delivery Solutions Architect to drive customer success and technical leadership in data solutions.

Location
Canada
Compensation
Not disclosed
Level
senior
Type
full time · Hybrid

Posted by employer 2 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 43 minutes ago

Skills & Technologies

SQL Python Scala Flexible on stack

What you'll build

  • Lead post-technical win account strategy
  • Drive onboarding and enablement for customers
  • Create execution plans for customer use cases
  • Provide updates on customer health and usage
  • Engage with Solutions Architects for use case demand

Must have

  • 5+ years of experience in Data and AI
  • Programming experience in Python, SQL, or Scala
  • Experience in customer-facing technical roles
  • Understanding of solution architecture for distributed data systems
  • Technical program or project management experience

Practical constraints

  • Can travel up to 30% when needed

Requirements

Experience
5+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, visa sponsorship.

Joblaze summary

In the role of Delivery Solutions Architect at Databricks, the individual will focus on driving customer success by leading technical strategies and ensuring effective onboarding and usage of the Databricks platform. Key skills include programming in Python, SQL, or Scala, along with a strong background in data and AI project delivery. This position is well-suited for someone with significant experience in customer-facing technical roles, particularly those who excel in managing complex projects and stakeholder relationships. The role involves collaboration with various teams to enhance product adoption and address technical challenges.

Joblaze insights

Quick facts

Is the Delivery Solutions Architect role remote?
It's hybrid — Databricks expects some on-site time in Canada.
How much experience is required?
At least 5 years of relevant experience for this Delivery Solutions Architect role.
Where is the role based?
Databricks is hiring for this position in Canada.
What's the tech stack?
Joblaze extracted these technologies from the posting: Python, SQL, Scala.
What seniority level is this role?
Databricks targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Delivery Solutions Architect role at Databricks.

From the original posting

REQ ID - CSQ427R305

Location: Vancouver, BC | Calgary, AB | Edmonton, AB | Toronto, ON | Ottawa, ON | Montreal, QC

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. 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 maximize the value they get from 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 assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel with being technical, with the expectation 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 organization. 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 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

What we look for:

  • 5+ 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

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Similar positions

Databricks
Delivery Solutions Architect
Databricks · Canada
Databricks
Delivery Solutions Architect
Databricks · Paris, France
Databricks
Delivery Solutions Architect
Databricks · Amsterdam, Netherlands
Databricks
Sr. Delivery Solutions Architect
Databricks · Singapore
Databricks
Delivery Solutions Architect
Databricks · Melbourne, Australia; Queensland, Australia