Solutions Architect - Lakebase
Databricks3 months ago
London, United KingdomStaff+
Responsibilities
- Collaborate with GTM leadership and account teams to design and execute engagement strategies across the assigned territory.
- Partner with Account Executives to develop and implement account strategies for Lakebase adoption and growth.
- Build technical credibility with stakeholders as a trusted advisor and product champion.
- Develop and deliver customer-facing presentations, demonstrations, workshops, and technical collateral.
- Enable clients at scale by increasing technical knowledge and thought leadership.
- Translate field-derived, data-driven insights into strategic product roadmap recommendations for Product and Engineering teams.
- Act as the tier-3 escalation point for complex technical challenges in mission-critical customer environments.
- Collaborate with Global System Integrators and third-party consulting organizations to drive customer outcomes.
Requirements
- 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales.
- 6+ years of customer-facing, pre-sales, or consulting experience influencing technical executives and driving data strategy and product adoption.
- Proven experience designing and delivering client-facing solutions and influencing OLTP product roadmaps.
- Experience integrating transactional data systems with Big Data, Lakehouse, and AI ecosystems.
- Infrastructure, platform, and administration experience with disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, and system migrations.
- Experience co-planning large territories with Account Executives and coordinating cross-functional GTM and R&D efforts.
- Experience collaborating with Global System Integrators and third-party consulting organizations.
- Proficiency in programming, debugging, and problem-solving using SQL and Python.
- Hands-on experience building solutions in AWS, Azure, or GCP.
- Broad experience in at least two of data engineering, data warehousing, AI, ML, governance, transactional systems, application development, and streaming.
- Undergraduate degree or higher in a technical field such as Computer Science, Applied Mathematics, Engineering, or a similar discipline.
- Track record of driving complex projects to completion in fast-paced, customer-facing environments.
Benefits
- Comprehensive benefits and perks are offered, with region-specific details available.
- The role is part of a global go-to-market organization and covers a specific local region.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.