Databricks: Delivery Solutions Architect — Stockholm, Sweden
Databricks lists a Delivery Solutions Architect opening in Stockholm, Sweden. The job description covers Python, Excel, AI, embedded systems, compliance, sales, stakeholder management.
Recruitment overview
| Organisation | Databricks |
|---|---|
| Post / role | Delivery Solutions Architect |
| Department | Delivery Solutions Architects |
| Employment type | Not specified |
| Notification / job ID | 8860663002 |
| Job location | Stockholm, Sweden |
| Work arrangement | Not specified |
| Educational qualification | Degree / qualification: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience |
| Experience required | 5+ years of experience where you have been accountable for delivery of projects in Data, Analytics or AI and where you can contribute to technical debate and design choices with customers |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Databricks
Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.
The position and its setting
Databricks lists Delivery Solutions Architect in Stockholm, Sweden, under reference 8860663002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Department: Delivery Solutions Architects
- Employer listing date: 6 October 2026
Responsibilities and work described
- Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices and enablement
- Leadership: the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Be the internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for 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 teams to address the tasks that are beyond your scope of activities or expertise
- Create 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, presenting them to the customers when applicable for their ongoing developments
- Internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption and use case progression - to your Field Engineering leadership
Essential requirements and candidate background
- Programming experience in PySpark, Python and Databricks (or similar data platform)
- Understanding and hands-on experience of solution architecture-related distributed data and analytics systems
- 5+ years of experience where you have been accountable for delivery of projects in Data, Analytics or AI and where you can contribute to technical debate and design choices with customers
- Experience: a customer-facing pre-sales, technical architecture, customer success, or consulting roles
- Understanding: how to attribute business value and outcomes to specific project deliverables
- Technical program coordination including account and stakeholder management
- Experience resolving complex and important escalation with senior customer technical stakeholders
- 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%
Location, schedule and contract conditions
For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.
- Advertised location: Stockholm, Sweden
Benefits mentioned by the employer
- 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
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Delivery Solutions Architect vacancy is not an offer for reference 8860663002; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Databricks
Applications follow the official employer page linked below.
Open the official Databricks posting below and match the title and reference 8860663002.
Compare your qualifications and experience with the essential conditions for the Stockholm, Sweden position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: Python
Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.
Relevant skills
- Python
- AI/ML
- Excel
- AI
- embedded systems
- compliance
- sales
- stakeholder management
Important links
| Official notification / job description | Open official page |
|---|
Read the complete official notice before applying. Availability and requirements can change.
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