Solutions Architect (Data & AI)

Location: Stockholm, Sweden; Stockholm-based hybrid role

Company

Databricks is a Data and AI company providing a unified platform for data engineering, analytics, machine learning, applications, agents, and governance.

What you will do

• Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
• Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
• Advise customer architects, engineering leads, and Directors on technical strategy and business value.
• Drive competitive technical wins through custom-built solutions and demonstrate Databricks platform differentiation.
• Develop a technical specialization in an emerging domain and act as a go-to resource for the team.
• Coordinate DSAs, SSAs, partners, and customer feedback to deliver solutions and influence product direction.

Requirements

• 6+ years of customer-facing experience in pre-sales, consulting, advisory, solutions architecture, data engineering, or hands-on technical roles.
• Strong coding and hands-on building skills in Python and SQL, including live coding and debugging, with an AI-first builder mindset.
• Deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Proficiency with the Databricks Platform or the ability to become proficient rapidly, with a developing specialization in an area such as real-time/streaming, ML/AI, data governance, or migrations.
• Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
• Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
• Proven ability to drive platform adoption and consumption growth within customer accounts.
• Excellent communication skills for translating complex architectures into business value for 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 in Data Engineering, ML, or Platform.
• Experience with Snowflake, AWS native services, or Azure Synapse.
• Cloud/data vendor and customer-side experience.
• Industry expertise in manufacturing/automotive, FSI/insurance, retail, energy/utilities, or telecommunications.
• Fluency or business proficiency in Swedish or another Nordic language.

Culture & Benefits

• Comprehensive employee benefits and perks, with details varying by region.
• Inclusive workplace committed to equal employment opportunity and diversity.
• Databricks operates globally with more than 30 offices and serves organizations worldwide.