# Solutions Architect

**Company**: Databricks
**Location**: Stockholm, 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/8934786002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/solutions-architect-2b2bc2d1-59e/

## Description

As a Solutions Architect, you will lead the technical strategy for your customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.

The Impact You Will Have

- Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth

- Lead complex architecture discussions - designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics

- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors

- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions

- Develop and declare an emerging technical specialisation (archetype) - becoming a go-to resource for your team in that domain

- Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs

- Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

- 6+ years customer-facing experience (pre-sales, consulting or advisory) including solutions architecture, data engineering and hands-on technical roles

- Strong coding proficiency and hands-on building skills in Python and SQL - you must demonstrate live coding, debugging, and an AI-first builder mindset

- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms

- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)

- Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis

- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations

- Track record of driving platform adoption and consumption growth within accounts

- Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences

- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

- Databricks certifications (Data Engineer, ML, Platform)

- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against

- Cloud/data vendor and customer-side experience background

- Industry domain expertise (Manufacturing/Automotive, FSI/Insurance, Retail, Energy/Utilities, Telco)

- Fluency / Business proficiency in Swedish (or further Nordic language)

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Python
- SQL
- distributed data systems architecture
- Databricks Platform
- cloud-native data platforms
- data engineering
- ML/AI
- Swedish

### Nice to have
- Databricks certifications
- Snowflake
- AWS native services
- Azure Synapse

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8934786002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)