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Senior Solutions Architect - Lakebase

Join Databricks as a Senior Solutions Architect to drive product adoption and engage clients in the Lakebase product line.

Location
Stockholm, Sweden
Compensation
Not disclosed
Level
senior
Type
full time · Hybrid

Posted by employer 2 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 4 hours ago

Skills & Technologies

What you'll build

  • Collaborate with GTM leadership and account teams
  • Serve as an expert Solutions Architect
  • Enable clients through workshops
  • Influence product roadmap
  • Handle complex technical challenges

Must have

  • 10+ years of transactional database expertise
  • 6+ years in a customer-facing, pre-sales or consulting role
  • Proficient in SQL and Python
  • Hands-on experience building solutions in public cloud environments

Nice to have

  • Experience with Global System Integrators
  • Prior experience with Apache Spark
  • Broad experience in data engineering and AI
  • Experience in app development and streaming

Requirements

Experience
10+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, visa sponsorship.

Joblaze summary

The Senior Solutions Architect for Lakebase at Databricks focuses on collaborating with account teams to develop and implement strategies that drive product adoption among clients. This role requires extensive experience in transactional databases, cloud environments, and programming, particularly with SQL and Python, as well as familiarity with big data ecosystems. Ideal candidates will have a strong background in customer-facing roles, particularly in pre-sales or consulting, and a proven ability to influence technical decision-makers. The position is part of a global team dedicated to enhancing product market fit and revenue growth.

Joblaze insights

  • Listed yesterday — first seen on Joblaze November 6, 2026. Last confirmed on Databricks's careers page November 8, 2026.
  • This exact title is also open at 1 other location at Databricks: Amsterdam, Netherlands.

Quick facts

Is the Senior Solutions Architect - Lakebase role remote?
It's hybrid — Databricks expects some on-site time in Stockholm, Sweden.
How much experience is required?
At least 10 years of relevant experience for this Senior Solutions Architect - Lakebase role.
Where is the role based?
Databricks is hiring for this position in Stockholm, Sweden.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Apache Spark, Azure, GCP, Python, SQL.
What seniority level is this role?
Databricks targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Solutions Architect - Lakebase role at Databricks.

From the original posting

(FEQ327R229)
Note: Open to hiring in Sweden, Denmark & Finland

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

Benefits

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