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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.
- 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.
- Proven track record of driving consumption growth and platform adoption with customers. Experience working with and/or within Startups and Digital Native organisations will be advantageous for this role.
- Strong technical architecture skills with deep expertise in enterprise data technologies: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms
- Expert-level cloud platform knowledge (Databricks, AWS, Azure, GCP or equivalent depth in competing modern data platforms with demonstrated rapid learning ability)
- Declared technical specialisation with recognised depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions
- Executive presence and strong strategic thinking - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy - connecting technical architecture decisions to business outcomes and revenue impact
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued
Note: the contract for this position will be formalised with a global Employer of Record (EOR). Further specific details on this setup can be discussed during initial screening calls.
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About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Skills Required
- 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
- Experience with Spark or PySpark
- Experience driving customer consumption growth and platform adoption
- Strong technical architecture skills in distributed systems, streaming, lakehouse design, data governance, and cloud-native platforms
- Expert-level knowledge of Databricks or major cloud platforms such as AWS, Azure, or GCP
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions
- Ability to influence directors, vice presidents, 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
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
