Databricks
Data and AI
SeniorSolutionsArchitect-Lakebase
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“Senior Solutions Architect - Lakebase at Databricks. Skills: Transactional database, Solution architecture, Cloud environments. Execute on Databricks’ strategic Product Operating Model. Establish product market fit”
What You'll Achieve.
Establish product market fit; Set the course for rapid revenue growth; Drive product adoption and vision; Increase technical knowledge; Ensure customer success in mission-critical environments
Industry & Context.
Problem-solving using SQL and Python
What They're Looking For.
Must Have
10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, 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), 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, A track record of driving complex projects to completion in fast-paced, customer-facing environments
Nice to Have
Kubernetes a plus
What You'll Do.
Execute on Databricks’ strategic Product Operating Model
Establish product market fit
Drive rapid revenue growth
Position product line
Provide compelling reasons for clients to adopt
Understand adoption approach and guardrails
Devise and implement strategy
Develop presentations and demos
Deliver assets to clients
Collaborate with GTM leadership
Design engagement strategies
Serve as expert Solutions Architect
Build technical credibility
Drive product adoption and vision
Enable clients at scale
Develop customer-facing collateral
Increase technical knowledge
Translate field-derived insights
Provide strategic recommendations
Handle complex technical challenges
Act as tier-3 escalation point
Ensure customer success
How You'll Work.
Team & Collaboration
Work in partnership with direct account teams; Co-plan large territories with Account Executives; Operate in a highly coordinated, cross-functional effort across GTM and R&D teams; Collaborate with Global System Integrators (GSIs); Collaborate with third-party consulting organisations
Process & Methodology
Driving complex projects to completion
Full Job Description
FEQ427R199 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
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