Senior Solutions Architect (Lakebase)
Databricks · Posted Sep 30
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
The Senior Solutions Architect (Lakebase) team is part of Databricks' global go-to-market organization, executing on the company's strategic Product Operating Model to establish product-market fit for earlier-stage, highly prioritized product lines. Lakebase is Databricks' transactional (OLTP) database product line, and this role partners with Account Executives to position, demo, and drive adoption of it across a defined territory. The architect serves as a trusted technical advisor to clients, enables them at scale through workshops and collateral, and acts as the tier-3 escalation point while influencing the product roadmap.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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 and security management, migrations (vendor-to-vendor, on-prem to cloud)
- 10+ 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 organizations 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.
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
Databricks Newsroom
Databricks Closes $5 Billion Strategic Funding at $190 Billion Valuation2026-08-13
Databricks Newsroom
Databricks Announces Strategic Funding at a $188 Billion Valuation2026-07-16
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Databricks Accelerates Investments in Agent Bricks, Lakebase and Databricks Apps2025-12-16