Databricks

Databricks

Posted via Greenhouse

Senior Solutions Architect - Digital Natives

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
Stockholm, Sweden
Work arrangement
Hybrid
Employment
Full-time
Experience
Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI

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Role Summary

AI-generated

This role is a customer-facing expert solution architect position on Databricks’ Emerging Enterprises team, supporting Startup and Digital Native customers in the Nordics region. The role helps customers address complex data challenges and adopt the Databricks Lakehouse Platform through technical engagements, workshops, and customized solutions.

What You'll Do

  • Develop customer engagement strategies with Account Executives for Startup and Digital Native customers in the Nordics region.
  • Coach junior Solutions Architects and teams on use-case prioritization and building technical champions.
  • Influence stakeholders through complex engagements involving the wider cloud ecosystem and third-party applications.
  • Act as an expert solution architect and trusted advisor for data analytics architecture, design, and Databricks Lakehouse adoption.
  • Develop customer-facing collateral and lead workshops, seminars, and meet-ups.
  • Contribute to technical community engagement and support customer meetings, events, and trainings.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Deep expertise in Data Engineering, Data Warehousing, and GenAI; technical pre-sales experience in complex customer interactions and sales lifecycles; ability to influence decision-makers and C-level executives; coding skills in one or more of Python, SQL, Scala, or Java; foundational Apache Spark knowledge; hands-on expertise with complex proofs-of-concept and public cloud platforms including AWS, Azure, or GCP; ability to provide technical solutions for specialized customer needs.

Required

  • Data Engineering, Data Warehousing, and GenAI expertise
  • Technical pre-sales experience
  • Experience influencing decision-makers and C-level executives
  • Coding in Python, SQL, Scala, or Java
  • Foundational Apache Spark knowledge
  • Complex proof-of-concept experience
  • Public cloud experience with AWS, Azure, or GCP
  • Technical solution development for specialized customer needs

Preferred

  • Experience working with and/or within Startups and Digital Native organisations
  • Databricks Certification(s)

Original job description

Content provided by the employer

(FEQ427R233)

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics 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. 

You will be an essential part of this mission, using your technical expertise to demonstrate how our Lakehouse Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. 

Join us in our quest to change how people work with data and make a better world!

This role will report to a Field Engineering Manager in the Emerging Enterprises team. 

The impact you will have:

  • Develop customer engagement strategies in partnership with Account Executive(s) for Startup & Digital Native customers in the Nordics region.
  • Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
  • You will influence stakeholders at all levels through complex engagements with the wider 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 solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
  • Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
  • Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

  • Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong "AI-Builder" mindset.
  • Experience working with and/or within Startups and Digital Native organisations will be advantageous for this role.
  • Able to engage effectively in complex customer interactions and sales lifecycle in a technical pre-sales capacity. Experience influencing decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.
  • Skilled in coding with one or more core programming language (i.e., Python, SQL, Scala, Java) plus foundational knowledge of Apache Spark / ability to upskill quickly in distributed computing technologies. 
  • Hands-on expertise with complex proofs-of-concept and public cloud (AWS, Azure, GCP) / modern data platforms. Databricks Certification(s) are not a must-have but will be beneficial for the role!  
  • Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

Notes on mandatory requirements: 

  • Location for the role will be in Stockholm (or within a commutable distance for hybrid schedule).
  • Flexibility to travel (up to 20-30% as required for customer meetings, events and trainings).


#LI-hybrid

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.

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Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.