Staff Technical Solutions Engineer (Data & AI)

Location: São Paulo, Brazil; hybrid role requiring approximately 3 days per week in the São Paulo office.

Company

Databricks provides a unified Data & AI Platform for building and scaling data, analytics, and AI applications, serving more than 20,000 organizations worldwide.

What you will do

• Lead technical solutions for complex, escalated, and critical customer problems involving Databricks products.
• Perform code-level analysis and systems architecture investigations across Spark Core internals, Spark SQL, Delta, DLT, and Model Serving.
• Advise customer stakeholders during incidents, identify mitigations, resolve advanced use cases, and help prevent recurring issues.
• Influence Engineering and Backline Support teams to improve Databricks products and stabilize customer production environments.
• Act as a technical expert in the Databricks platform and productionizing systems while mentoring other engineers.

Requirements

• At least 8 years of experience designing, building, testing, and maintaining data pipelines, including mandatory relevant Spark experience.
• Expertise in SQL databases or data warehouses such as Oracle, Teradata, SQL Server, or MySQL.
• Expertise with ETL technologies such as Informatica, DataStage, Talend, or Fivetran.
• At least 5 years of hands-on experience developing two or more Big Data technologies or solutions, including options such as Spark, Hadoop, lakehouse architecture, Delta, data ingestion, data streaming applications, or industry ML/AI applications.
• Approximately 3 years of hands-on experience as a technical lead on a Data & AI Engineering team and as the go-to person for resolving critical issues.
• Ability to influence cross-functionally with internal stakeholders or engineering teams.
• Technical degree or Bachelor's degree in Computer Science, or related experience.

Nice to have

• Hands-on experience with a public cloud platform such as AWS, Azure, or GCP.

Culture & Benefits

• Hybrid work with approximately 3 office days per week in São Paulo.
• Benefits and perks are provided according to the employee's region.
• Inclusive workplace committed to equal employment opportunity and diversity.
• Comprehensive benefits designed to support employees' regional needs.