Description
The Solutions Architect (Lakebase) team executes on Databricks' strategic Product Operating Model, providing focus on earlier-stage, highly prioritised product lines to establish product market fit and drive rapid revenue growth.
As a Sr. Solutions Architect, you will work in partnership with direct account teams to engage clients, foster relationships, and position the specific product line to provide compelling reasons for clients to adopt and grow the usage of the given product.
Key responsibilities:
- Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
- 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.
Requirements:
- 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales.
- Credibility in influencing OLTP products with 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.
- 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 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: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/databricks/jobs/8567849002