Senior Solutions Architect - Digital Natives
Sweden · Stockholm · 8+ years experience · Hybrid · Posted Oct 20, 2026
At a glance
- Experience
- 8+ years experience
- Workplace
- Hybrid
- Location
- Sweden · Stockholm
About Databricks
- Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About the role
- 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 operate at the intersection of deep technical expertise, strategic account planning, and executive influence.
Responsibilities
- 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
- 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
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued
Preferred qualifications
- Experience working with and/or within Startups and Digital Native organisations will be advantageous for this role
Benefits
- Comprehensive benefits and perks that meet the needs of all employees
Workplace
- Hybrid workplace model indicated by #LI-hybrid tag
Skills
- Python
- SQL
- Spark
- PySpark
- Databricks
- AWS
- Azure
- GCP