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Mission
The Senior 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 Senior 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 and security management, migrations (vendor-to-vendor, on-prem to cloud)
The impact you will have
- 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.
Competencies & Responsibilities
- 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.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Skills Required
- 10+ years transactional database (OLTP) expertise across engineering, product, administration, and pre-sales
- Credibility influencing OLTP products and shaping roadmap priorities
- Experience architecting integrations of transactional systems with Big Data, Lakehouse, and AI ecosystems
- Infrastructure and platform expertise: disaster recovery, high availability, backup/recovery, scale-out, identity and security, migrations
- 6+ years customer-facing, pre-sales or consulting experience influencing technical executives
- Proven ability to co-plan territories with Account Executives and work cross-functionally with GTM and R&D
- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations
- Proficient in programming, debugging and problem-solving using SQL and Python
- Hands-on experience building solutions in major public clouds (AWS, Azure, or GCP)
- Broad experience in two or more of: data engineering, data warehousing, AI/ML, governance, transactional systems, app development, streaming
- Undergraduate degree or higher in Computer Science, Applied Mathematics, Engineering or similar
- Track record driving complex projects to completion in fast-paced, customer-facing environments
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
