Solutions Architect - Lakebase
Databricks3 months ago
São Paulo, BrazilStaff+
Responsibilities
- Collaborate with GTM leadership and account teams to design and execute engagement strategies across an assigned territory.
- Act as a trusted Solutions Architect and product champion who builds technical credibility and drives Lakebase adoption.
- Develop and deliver customer-facing workshops, presentations, demonstrations, collateral, and thought leadership.
- Co-plan territories with Account Executives and coordinate cross-functional efforts across GTM and R&D teams.
- Translate field-derived, data-driven insights into strategic recommendations for Product and Engineering roadmaps.
- Serve as the tier-3 escalation point for complex technical challenges in mission-critical customer environments.
Requirements
- 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, including a 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 broader 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 collaborating with Global System Integrators and third-party consulting organizations.
- Proficiency programming, debugging, and problem-solving with SQL and Python.
- Hands-on experience with 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.
- Proven ability to drive complex projects to completion in fast-paced, customer-facing environments.
Benefits
- Comprehensive employee benefits and perks are offered, with details varying by 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.