Senior Solutions Architect - Lakebase

Databricks; Amsterdam; On-site; EUR 80,000 - 100,000; Full time

Job summary

Databricks is seeking an experienced Solutions Architect to enhance product market fit and drive rapid revenue growth. This position involves collaborating with account teams, executing strategies, and enabling clients through technical recommendations.

The ideal candidate will have expertise in transactional databases, cloud platforms, and programming. This role emphasizes building relationships and influencing product adoption within the defined territory.

Qualifications

• 10+ years of transactional database expertise.
• 6+ years in customer-facing, pre-sales or consulting roles.
• Proficient in programming using SQL and Python.

Responsibilities

• Collaborate with GTM leadership to design engagement strategies.
• Serve as an expert Solutions Architect to drive product adoption.
• Handle complex technical challenges acting as tier-3 escalation point.

Skills

Transactional database expertise

SQL programming

Python programming

Data engineering

Cloud environments (AWS, Azure, GCP)

Education

Undergraduate degree in a technical field

Job description

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 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, and 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 so that clients make an informed decision as they 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 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.
• 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.

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.