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Databricks

✓ Verified Sponsor

Evergreen - FDE Brazil

🗓️ Posted 2026-08-18 Brazil Hybrid ICT

Company shared salary

Market rate

₹15,000–₹30,000/mo (₹180,000–₹360,000/yr)

Based on similar roles (title + domain + location).

Responsibilities

● Work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform.
● Own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
● Work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations.
● Deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
● 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.
● 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.
● Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
● 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.
● Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
● Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

Requirements

● 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.