Sr. Solutions Architect - Lakebase

Databricks Inc.; München; On-site; EUR 120,000 - 180,000; Full time

Job summary

Databricks seeks a Solutions Architect (Lakebase) to lead customer engagements across a local region, translating business objectives into scalable data and AI solutions. You will partner with GTM and account teams to drive adoption of Lakebase in complex environments, leveraging SQL, Python, and cloud platforms.

You will influence roadmaps, craft workshops and collateral, and act as tier-3 escalation for mission-critical deployments, ensuring customer success and measurable outcomes.

Qualifications

• 6+ years in customer-facing, pre-sales or consulting roles influencing technical executives
• Proven ability to co-plan large territories with Account Executives
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations
• 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)
• Undergraduate degree in a technical field such as Computer Science, Applied Mathematics, Engineering
• Track record of driving complex projects to completion in fast-paced, customer-facing environments

Responsibilities

• 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
• Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field
• Coordinate cross-functional effort across GTM and R&D teams to deliver customer outcomes

Skills

SQL

Python

Pre-sales

Territory planning

GSI collaboration

Cloud platforms

Data engineering

Data warehousing

AI/ML

Project delivery

Education

Bachelor's or higher in Computer Science/Engineering/Applied Math

Tools

AWS

Azure

GCP

Job description

FEQ327R213

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 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.
• 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.

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.