Databricks

Databricks

Posted via Greenhouse

Senior Solutions Architect - Lakebase

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
Amsterdam, Netherlands
Work arrangement
Hybrid
Employment
Full-time
Experience
10+ years of transactional database (OLTP) expertise
Education
Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.

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Role Summary

AI-generated

The Solutions Architect (Lakebase) partners with Account Executives and account teams in a local region to drive adoption and growth of the Lakebase product line. The role develops client-facing technical strategies, enables customers through workshops and collateral, and connects field insights with Product and Engineering teams.

What You'll Do

  • Collaborate with GTM leadership and account teams to design and execute engagement strategies across the territory.
  • Serve as a trusted advisor and technical champion to build stakeholder credibility and drive product adoption.
  • Develop and deliver workshops and customer-facing collateral to increase technical knowledge and thought leadership.
  • Translate field-derived, data-driven insights into strategic product roadmap recommendations.
  • Act as the tier-3 escalation point for complex technical challenges in mission-critical environments.

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

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Qualifications

10+ years of transactional database (OLTP) expertise; 6+ years in a customer-facing, pre-sales or consulting role; proficiency in SQL and Python; prior experience with Apache Spark or similar analytics engine tooling; hands-on experience with AWS, Azure, or GCP; experience across two or more of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming; experience collaborating with GSIs and third-party consulting organisations; ability to co-plan large territories with Account Executives; track record of driving complex projects to completion.

Required

  • 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales
  • 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and...
  • Proficient in programming, debugging, and problem-solving using SQL and Python
  • Prior experience with Apache Spark or similar analytics engine tooling for large-scale data processing
  • Hands-on experience building solutions within AWS, Azure, or GCP
  • Broad experience in two or more of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and...
  • Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar
  • A track record of driving complex projects to completion in fast-paced, customer-facing environments

Original job description

Content provided by the employer

(FEQ327R229)

The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

 

The Lakebase product-line requires the following core technical competencies:

  • 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.
  • Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.
  • Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
  • Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)

The impact you will have

  • Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
  • As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
  • Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
  • Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
  • Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

 Competencies & Responsibilities

  • 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
  • Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
  • Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.
  • Proficient in programming, debugging, and problem-solving using SQL and Python. Also requiring prior experience with Apache Spark or similar analytics engine tooling for large-scale data processing. 
  • Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
  • Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
  • Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
  • A track record of driving complex projects to completion in fast-paced, customer-facing environments.

 

#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

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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.

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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.