# Senior Solutions Architect - Digital Natives

**Company**: Databricks
**Location**: Finland
**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/8905967002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c98ac7e0-660

## Description

As a Senior Solutions Architect at Databricks, you will be an expert-level technical leader responsible for the organisation's most complex customer engagements in the Nordics region, specifically with Startup & Digital Native customers. You will drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts.

You will:

- Drive technical and consumption strategy in partnership with Account Executives

- Influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and 3rd-party applications

- 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

- 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

- Expert-level cloud platform knowledge (Databricks, AWS, Azure, GCP or equivalent depth in competing modern data platforms)

- Declared technical specialisation with recognised depth

- Executive presence and strong strategic thinking

- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline

## Skills

### Required
- Python
- SQL
- Spark/PySpark
- Databricks
- AWS
- Azure
- GCP
- Data Engineering
- Data Science
- Analytics
- GenAI
- Cloud Computing
- Data Architecture
- Data Governance

### Nice to have
- Startups
- Digital Native organisations
- Real-time architectures
- ML/AI platforms
- large-scale migrations
- industry-specific solutions

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8905967002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)