Solutions Architect

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)