Databricks
Technology
Sr.SolutionsArchitect(Lakebase)
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Solutions Architect (Lakebase) at Databricks. Skills: Lakebase product, Transactional database, Big Data, AI/ML. Engage clients. Foster relationships”
What You'll Achieve.
Establish product market fit; Rapid revenue growth; Drive product adoption; Drive product vision; Increase technical knowledge; Increase thought leadership; Ensure customer success
Industry & Context.
Problem-solving
Fluent Japanese, Professional English proficiency
What They're Looking For.
Must Have
10+ years transactional database expertise, 10+ years client-facing solutions design, 6+ years pre-sales or consulting role, 6+ years influencing technical executives, Proficient in SQL and Python, Hands-on experience major public cloud, Undergraduate degree technical field
Nice to Have
Credibility influencing OLTP products, Experience architecting integrated solutions, Infrastructure, platform, administration expertise, Experience collaborating Global System Integrators, Experience third-party consulting organizations, Broad experience data engineering, Broad experience data warehousing, Broad experience AI, Broad experience ML, Broad experience governance, Broad experience transactional systems, Broad experience app development, Broad experience streaming
What You'll Do.
Position product line
Provide compelling reasons
Understand adoption approach
Deliver client solutions
Develop presentations
Deliver presentations
Make informed decisions
Design engagement strategies
Execute engagement strategies
Build technical credibility
Drive product adoption
Develop customer-facing collateral
Increase technical knowledge
Increase thought leadership
Influence product roadmap
Make strategic recommendations
Handle complex challenges
Act as tier-3 escalation
Ensure customer success
How You'll Work.
Team & Collaboration
Account teams; GTM leadership; Global System Integrators; Third-party consulting organizations; R&D teams
Communication Scope
Presentations; Demos; Thought leadership
Process & Methodology
Territory planning
Full Job Description
Req: FEQ327R246 Location: Tokyo, Japan Mission The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized 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 prioritize 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
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