Evergreen - FDE Brazil

Databricks; Brasil; Presencial; BRL 300 000 - 520 000; Tempo integral

Resumo da oferta

Databricks is seeking a Sr. Forward Deployed Engineer to work with customers on data & AI challenges, building production-ready solutions on the Databricks platform. You will own the architecture, drive design decisions, and implement end-to-end systems across data engineering, AI, and applications.

You will lead with customer empathy, embed with client teams, and collaborate with engineering, product, and support to ensure rapid delivery and adoption of Databricks-based solutions.

Qualificações

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable writing code in Python, Scala, or JavaScript/TypeScript.
• Experience with two or more cloud ecosystems (AWS/Azure/GCP) and Spark runtime internals is a plus.
• Familiarity with CI/CD for production deployments.
• Knowledge of MLOps, ML/AI models and AI APIs.
• Ability to design and deploy scalable end-to-end data architectures.

Responsabilidades

• Lead production-grade solution delivery including reference architectures and data ingestion.
• Guide transformational big data projects and end-to-end design, build, and deployment.
• Architect and own design decisions to ensure secure, scalable solutions.
• Collaborate with engineering, product, and customer teams to meet customer needs.
• Embed with customer teams to understand challenges and deliver impact.
• Travel to customers ~20% of the time.

Conhecimentos

Data engineering

Data platforms

Analytics

Software engineering

Ferramentas

Python

Scala

JavaScript/TypeScript

Apache Spark

Descrição da oferta de emprego

As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. You will work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.

The Impact You Will Have

• Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
• Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customer's successful understanding, evaluation and adoption of Databricks
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap

What We Look For

• 6+ years experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions
• Documentation and white-boarding skills
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects
• Travel to customers 20% of the time
• Databricks Certification

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please refer to our benefits portal.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.