Senior Solutions Architect (Lakebase)

Location: Stockholm, Sweden; open to hiring in Sweden, Denmark, and Finland. Hybrid.

Company

Databricks is a Data and AI company providing a unified platform for data, analytics, applications, and AI.

What you will do

• Design and execute product engagement strategies with GTM leadership and account teams across an assigned territory.
• Act as a trusted Lakebase advisor and technical champion to build credibility and drive product adoption.
• Develop and deliver workshops, presentations, demos, and customer-facing technical collateral.
• Translate field-derived insights into roadmap recommendations for Product and Engineering teams.
• Serve as the tier-3 escalation point for complex technical challenges in mission-critical customer environments.

Requirements

• 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven record of designing and delivering client-facing solutions.
• Experience influencing OLTP products and shaping and prioritising roadmap capabilities through market insight.
• Experience architecting transactional data integrations with Big Data, Lakehouse, and AI ecosystems.
• Infrastructure, platform, and administration expertise in disaster recovery, high availability, backup and recovery, scale-out, identity and security management, and migrations.
• 6+ years in customer-facing pre-sales or consulting roles influencing technical executives, data strategy, and product adoption.
• Ability to co-plan large territories with Account Executives and coordinate cross-functionally across GTM and R&D teams.
• Experience collaborating with Global System Integrators and third-party consulting organisations.
• Proficiency in programming, debugging, and problem-solving with SQL and Python, plus experience with Apache Spark or similar large-scale analytics tooling.
• Hands-on experience building solutions in AWS, Azure, or GCP.
• Broad experience in at least two of data engineering, data warehousing, AI, ML, governance, transactional systems, application development, and streaming.
• Undergraduate degree or higher in Computer Science, Applied Mathematics, Engineering, or a similar technical field.
• Track record of completing complex projects in fast-paced, customer-facing environments.

Culture & Benefits

• Work as part of a global go-to-market organisation while covering a specific local region.
• Collaborate across product, engineering, GTM, account, and consulting teams.
• Comprehensive benefits and perks are offered according to the employee's region.
• Inclusive hiring practices and a commitment to diversity and equal employment opportunity.