Evergreen - FDE Brazil
Databricks3 months ago
São Paulo, BrazilSenior
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 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.