Evergreen - FDE Brazil
Databricks2 months ago
Responsibilities
- Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Guide strategic customers through the design, build, and deployment of big data and AI applications.
- Scope technical delivery work with customers and engagement managers.
- Advise customers on architecture and design and bootstrap or implement customer projects.
- Own architecture and design decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices.
- Coordinate with Databricks technical teams, project managers, architects, and customer teams to deliver engagement technical components.
- Collaborate with Engineering and Databricks Customer Support on product feedback, implementation feedback, and engagement-specific issue resolution.
- Embed with customer teams and engage stakeholders from technical individual contributors through executives.
- Create reusable accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap.
Requirements
- At least 6 years of experience in data engineering, data platforms and analytics, or software engineering.
- Ability to write code in Python, Scala, JavaScript, TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems—AWS, Azure, or GCP—with expertise in at least one.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant, production-grade end-to-end data architectures and applications.
- Experience with technical project delivery, including scope, timelines, measurable outcomes, and translating complex concepts into actionable solutions.
- Documentation and whiteboarding skills.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solution deployment and integration.
- Willingness to travel to customers 20% of the time.
- Databricks Certification.
Benefits
- Benefits and perks are provided, with region-specific details available through Databricks.
- The role requires travel to customers approximately 20% of the time.
Tech Stack
Categories
Data EngineeringForward Deployed
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 over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).