# Senior Solutions Architect - Digital Natives

**Company**: Databricks
**Location**: Sweden
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8885049002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f713a57d-2cf

## Description

As a Senior Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts.

You will:

- Drive the technical and consumption strategy in partnership with Account Executives for Startup & Digital Native customers in the Nordics region, directly influencing platform adoption and revenue growth.

- Influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and 3rd-party applications, ensuring they are excited by the Databricks vision and solution strategy.

- Be a 'champion’ for both customers and colleagues, operating as an expert architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence platform.

- Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale.

- Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.

- Coach junior Solutions Architects and teams on use-case prioritisation and on building technical champions.

Requirements:

- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.

- A strong "AI-Builder" mindset; Expert-level coding proficiency , Python, SQL, and ideally Spark/PySpark.

- Proven track record of driving consumption growth and platform adoption with customers.

- Strong technical architecture skills with deep expertise in enterprise data technologies: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms.

- Expert-level cloud platform knowledge (Databricks, AWS, Azure, GCP or equivalent depth in competing modern data platforms with demonstrated rapid learning ability).

- Declared technical specialisation with recognised depth , e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.

- Executive presence and strong strategic thinking - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy - connecting technical architecture decisions to business outcomes and revenue impact.

## Skills

### Required
- Python
- SQL
- Spark/PySpark
- Distributed Systems
- Streaming/Real-time
- Lakehouse Design Patterns
- Data Governance Frameworks
- Cloud-Native Platforms

### Nice to have
- AI-Builder mindset
- Technical Specialisation

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8885049002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)