Databricks

SolutionsArchitect-Lakebase

£115–165k ~AI est. London, United Kingdom
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Solutions Architect - Lakebase at Databricks. Skills: Lakebase, Transactional database, Big Data, AI/ML. Engage clients. Foster relationships”

Industry & Context.

Problems you'll solve

Problem-solving

What They're Looking For.

Must Have

10+ years transactional database expertise, 6+ years customer-facing pre-sales consulting, Undergraduate degree in technical field

Nice to Have

Experience architecting solutions integrating transactional data systems, Experience collaborating with Global System Integrators, Broad experience (two or more) across data engineering, data warehousing, AI, ML, governance, transactional systems, app development, streaming

What You'll Do.

Position product line

Provide compelling reasons

Understand guardrails

Deliver client objectives

Develop presentations

Deliver presentations

Design engagement strategies

Execute engagement strategies

Serve as expert Solutions Architect

Build technical credibility

Drive product adoption

Enable clients at scale

Develop customer-facing collateral

Increase technical knowledge

Increase thought leadership

Influence product roadmap

Make strategic recommendations

Handle complex technical challenges

Act as tier-3 escalation point

Ensure customer success

How You'll Work.

Team & Collaboration

Account teams; GTM leadership; R&D teams; Global System Integrators; Third-party consulting

Communication Scope

Executive presentations; Thought leadership

Process & Methodology

Co-plan large territories

Full 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 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-

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