Senior Solutions Architect - Digital Natives (AI)

Location: Finland; hybrid work indicated by the #LI-hybrid tag.

Company

Databricks provides a unified Data and AI Platform for data engineering, data science, analytics, generative AI, and AI applications.

What you will do

• Drive technical and consumption strategy with Account Executives for startup and digital-native customers in the Nordics.
• Influence stakeholders through complex engagements involving cloud ecosystems and third-party applications.
• Advise customers on data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
• Lead complex architecture engagements involving multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale.
• Contribute customer-facing content, workshops, thought leadership, and community engagement.
• Coach junior Solutions Architects and teams on use-case prioritization and building technical champions.

Requirements

• 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
• Expert-level coding proficiency in Python and SQL; Spark or PySpark is ideally required. The interview includes a live coding assessment and a platform build.
• Proven experience driving customer consumption growth and platform adoption.
• Strong technical architecture skills covering distributed systems at scale, streaming and real-time systems, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
• Expert-level knowledge of Databricks, AWS, Azure, GCP, or equivalent modern data platforms, with demonstrated ability to learn competing platforms quickly.
• Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
• Executive presence and strategic thinking, with the ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy and connect technical decisions to business outcomes and revenue impact.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

• Experience working with or within startups and digital-native organizations.
• Advanced degree.

Culture & Benefits

• Customer-centric culture focused on creativity, experimentation, and continuous improvement.
• Comprehensive regional benefits and perks.
• Inclusive hiring practices and a diverse working environment.
• Contract formalized through a global Employer of Record; specific details are discussed during initial screening.

Hiring process

• Initial screening calls include discussion of the global Employer of Record setup.
• The interview process includes a live coding assessment and a platform build.