Arquiteto(A) / Engenheiro(A) De Dados Databricks Sr

Jobgether SRL; Brasil; Presencial; BRL 180 000 - 260 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Contrato renovável de 6 meses

Trabalho com Databricks e Delta Lake

Projetos em nuvem

Colaboração com profissionais expertes

Crescimento profissional

Ambiente inclusivo

Transformação digital

Resumo da oferta

A Jobgether SRL está à procura de Arquiteto(a) / Engenheiro(a) de Dados Databricks SR baseada no Brasil para projetar plataformas de dados modernas. A função envolve liderança técnica, engenharia prática e colaboração com equipes para entregar ecossistemas de dados confiáveis e de alto desempenho.

O candidato ideal possui experiência com Databricks, Delta Lake e arquitetura Lakehouse, além de habilidades em ETL/ELT, modelagem de dados e ambientes em nuvem.

Qualificações

• Experiência sólida com Databricks, PySpark e SQL.
• Conhecimento de Delta Lake e conceitos de Lakehouse.
• Experiência em projetar e desenvolver ETL/ELT e pipelines de dados.
• Experiência em modelagem de dados e integração de dados.
• Conhecimento de ambientes em nuvem (Azure, AWS ou GCP).
• Capacidade de definir melhores práticas de arquitetura e governança de dados.
• Habilidades analíticas e de resolução de problemas.
• Colaboração com equipes técnicas e documentação de soluções complexas.

Responsabilidades

• Projetar e evoluir plataformas de dados com base em Lakehouse.
• Desenvolver pipelines ETL/ELT escaláveis para suportar necessidades analíticas.
• Implementar soluções com Databricks e Delta Lake.
• Construir e manter fluxos de dados com PySpark e SQL.
• Definir padrões de arquitetura, governança e desempenho.
• Integrar dados de várias fontes com confiabilidade e qualidade.
• Apoiar equipes técnicas com orientações de prática de engenharia de dados.
• Documentar soluções técnicas, processos e padrões de arquitetura.
• Colaborar com partes interessadas para entender requisitos e entregar soluções eficazes.
• Contribuir para melhoria contínua de plataformas de dados.

Conhecimentos

Databricks

PySpark

SQL

Delta Lake

Lakehouse

ETL/ELT

Data Modeling

Cloud Platforms

Ferramentas

Airflow

Azure Synapse

Azure Data Factory

Microsoft Fabric

Descrição da oferta de emprego

Arquiteto(a) / Engenheiro(a) de Dados Databricks SR

Empresa: Jobgether
Tipo de Emprego: Periodo Integral
Brazil
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Descrição do Emprego - Arquiteto(a) / Engenheiro(a) de Dados Databricks SR

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for anArquiteto(a) / Engenheiro(a) de Dados - Databricks SR based in Brazil.

This role is an opportunity for an experienced data professional to design and evolve modern data platforms using Lakehouse architecture and cutting-edge cloud technologies. You will be responsible for building scalable data solutions, improving data processing capabilities, and defining best practices for architecture, governance, and performance. The position combines technical leadership, hands-on engineering, and collaboration with teams to deliver reliable and high-performing data ecosystems. You will work with Databricks, Delta Lake, PySpark, and cloud environments to transform complex data challenges into strategic business solutions. The role requires a strong understanding of data engineering principles, architecture patterns, and scalable pipeline development. This is a consulting opportunity with an initial 6-month renewable contract, offering exposure to impactful technology projects.

Accountabilities

• Design and evolve data platforms based on Lakehouse architecture principles.
• Develop scalable ETL and ELT pipelines to support business and analytical needs.
• Implement and optimize solutions using Databricks and Delta Lake.
• Build and maintain data processing workflows using PySpark and SQL.
• Define architecture standards, governance practices, and performance optimization strategies.
• Integrate and transform data from multiple sources while ensuring reliability and quality.
• Support technical teams with guidance on data engineering practices and architecture decisions.
• Document technical solutions, processes, and architectural standards.
• Collaborate with stakeholders to understand requirements and deliver effective data solutions.
• Contribute to continuous improvement of data platforms, tools, and engineering practices.

Requirements

• Solid experience working with Databricks, PySpark, and SQL.
• Strong knowledge of Delta Lake and Lakehouse architecture concepts.
• Experience designing and developing ETL/ELT processes and data pipelines.
• Experience with data modeling and data integration solutions.
• Knowledge of cloud environments such as Azure, AWS, or Google Cloud Platform (GCP).
• Ability to define and apply data architecture and governance best practices.
• Strong analytical and problem-solving skills.
• Experience collaborating with technical teams and documenting complex solutions.

Nice to Have

• Experience with workflow orchestration tools such as Airflow.
• Knowledge of Microsoft Fabric, Azure Synapse, or Data Factory.
• Experience with DataOps practices, CI/CD pipelines, and automation.
• Databricks or cloud-related certifications.
• Experience working in consulting environments or with multiple client projects.

Benefits

• Six-month renewable contract opportunity.
• Opportunity to work on modern data platforms and cloud-based projects.
• Exposure to advanced technologies such as Databricks, Delta Lake, and Lakehouse architecture.
• Opportunity to collaborate with experienced technology professionals.
• Professional growth through challenging and innovative projects.
• Inclusive environment that values diversity and different professional backgrounds.
• Opportunity to contribute to digital transformation initiatives across organizations.