Solutions Architect (Lakebase)
Databricks3 months ago
Singapore, SingaporeStaff+
Responsibilities
- Partner with GTM leadership, Account Executives, and account teams to design and execute engagement strategies across the assigned territory.
- Build technical credibility with stakeholders as a Lakebase expert and champion to drive product adoption and vision.
- Develop and deliver workshops, presentations, demos, and customer-facing collateral.
- Translate field-derived, data-driven insights into roadmap recommendations for Product and Engineering teams.
- Serve as the tier-3 escalation point for complex technical challenges in mission-critical customer environments.
- Collaborate with GSIs 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, including a track record of designing and delivering client-facing solutions.
- 6+ years of customer-facing, pre-sales, or consulting experience influencing technical executives and driving data strategy and product adoption.
- Experience architecting transactional data integrations with Big Data, Lakehouse, and AI ecosystems.
- Infrastructure, platform, and administration expertise in disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, and migrations.
- Experience collaborating with Global System Integrators and third-party consulting organizations.
- Proficiency in programming, debugging, and problem-solving with 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.
- Ability to drive complex projects to completion in fast-paced, customer-facing environments.
Benefits
- Comprehensive benefits and perks are offered, with region-specific details available through Databricks.
- The role covers a specific local region as part of a global go-to-market team.
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.