Databricks

5 days ago

Evergreen - FDE Brazil

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Work with customers to build and productionize data and AI solutions using the Databricks platform. Own architecture and lead design decisions for end-to-end systems spanning data engineering, ML/AI model integration, and application development. Deliver production-grade reference architectures, guide customers through scalable adoption, and embed with customer teams to understand technical and executive needs. Collaborate with engineering, product, architects, and support to drive successful outcomes and feed back improvements.

Location: Brazil

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead customer technical projects delivering production-grade systems, reference architectures, custom applications, and data ingestion with ML/AI model integration.
•Guide strategic customers through transformational big data and AI initiatives, including end-to-end design, build, and deployment, with engagement managers.
•Guide customers on architecture and design to bootstrap or implement projects that enable evaluation and adoption of Databricks.
•Lead architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Collaborate with Databricks engineering, project management, architects, and customer support to deliver engagement components and provide product/implementation feedback.

Travel: Medium travel

Key Requirements

•6+ years of experience in data engineering, data platforms/analytics, or software engineering.
•Proficiency writing code in Python, Scala, and/or JavaScript/TypeScript with modern frameworks.
•Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP), with expertise in at least one.
•Deep experience with distributed computing using Apache Spark, including Spark runtime internals.
•Familiarity with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs; plus strong skills in technical project delivery and documentation/white-boarding.

Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringDistributed computingBig dataMachine learningAIEnterprise clients

Skills:Customer empathyCross-functional collaborationArchitectural thinkingAdaptabilityCommunication

Certifications:Databricks Certification

Languages:English

Tech Stack:DatabricksPythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkCI/CDMLOpsMLflowDelta LakeLakehouse

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

5 days ago

Evergreen - FDE Brazil

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Brazil

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead customer technical projects delivering production-grade systems, reference architectures, custom applications, and data ingestion with ML/AI model integration.
•Guide strategic customers through transformational big data and AI initiatives, including end-to-end design, build, and deployment, with engagement managers.
•Guide customers on architecture and design to bootstrap or implement projects that enable evaluation and adoption of Databricks.
•Lead architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Collaborate with Databricks engineering, project management, architects, and customer support to deliver engagement components and provide product/implementation feedback.

Travel: Medium travel

Key Requirements

•6+ years of experience in data engineering, data platforms/analytics, or software engineering.
•Proficiency writing code in Python, Scala, and/or JavaScript/TypeScript with modern frameworks.
•Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP), with expertise in at least one.
•Deep experience with distributed computing using Apache Spark, including Spark runtime internals.
•Familiarity with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs; plus strong skills in technical project delivery and documentation/white-boarding.

Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringDistributed computingBig dataMachine learningAIEnterprise clients

Skills:Customer empathyCross-functional collaborationArchitectural thinkingAdaptabilityCommunication

Certifications:Databricks Certification

Languages:English

Tech Stack:DatabricksPythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkCI/CDMLOpsMLflowDelta LakeLakehouse

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn