Senior Solutions Architect - Digital Natives
Senior customer-facing technical leader at Databricks driving technical and consumption strategy for startup and digital-native customers in the Nordics, leading complex architecture engagements (multi-workload platforms, real-time systems, AI/ML at scale) on the Databricks lakehouse platform using Python, SQL, Spark, and cloud platforms like AWS, Azure, and GCP.
- Compensation
- Not disclosed
- Location
- Sweden
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Architecture
- Posted
Skills
Must have
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
- Expert-level coding proficiency in Python, SQL, and ideally Spark/PySpark (live coding assessment and platform build during interviews)
- Proven track record of driving consumption growth and platform adoption with customers
- Strong technical architecture skills: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, cloud-native platforms
- Expert-level cloud platform knowledge (Databricks, AWS, Azure, GCP or equivalent depth in competing modern data platforms)
- Declared technical specialisation with recognised depth (e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, industry-specific solutions)
- Executive presence and strategic thinking — able to influence Directors, VPs, and C-level stakeholders on data and AI strategy
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees valued
Nice to have
- Experience working with and/or within Startups and Digital Native organisations
Full description
(FEQ128R9)
The role:
At Databricks, our core values are at the heart of everything we do; a culture of proactivity and a customer-centric mindset guide us in creating a unified platform that makes Data Engineering, Data Science, Analytics & GenAI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
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 have declared your archetype - a recognised technical specialisation that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.
This role will report to a Field Engineering Manager in the Emerging Enterprises team.
The impact you will have:
- 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.
- You will 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.
What we look for:
(Note: it is not expected that you “tick every box” below and encourage you to apply if you are meeting several of the expected criteria and can demonstrate a strong ability to transfer skills and develop quickly in the role!)
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
- A strong "AI-Builder" mindset; Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview process.