Databricks
SolutionsArchitect-Lakebase
Neural analysis suggests this role is
optimal for Senior candidates.
“Solutions Architect - Lakebase at Databricks. Skills: Lakebase, Transactional database, Big Data, AI/ML. Engage clients. Foster relationships”
Industry & Context.
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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