Azure Analytics Architect

Georgiatek Systems Inc.; Teletrabalho; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

Uma empresa de tecnologia em nuvem está em busca de um(a) Analytics Architect para liderar a implementação de soluções analíticas usando Azure Databricks e Azure Fabric. O profissional ideal deve ter mais de 12 anos de experiência em engenharia de dados e ser proficiente em tecnologias como Hadoop, Spark e SQL. Este cargo remoto oferece a oportunidade de liderar uma equipe e impactar diretamente estratégias de negócios, utilizando as mais recentes ferramentas de análise de dados e práticas de governança.

Serviços

Trabalho remoto flexível

Oportunidades de aprendizado contínuo

Ambiente colaborativo

Qualificações

• 12+ anos em engenharia de dados e soluções analíticas.
• Experiência na implementação de soluções de análise usando Azure.
• Forte conhecimento em SQL e bancos de dados NoSQL.

Responsabilidades

• Liderar a arquitetura e implementação de soluções de análise avançadas.
• Colaborar com partes interessadas para coletar requisitos.
• Supervisionar a implementação de pipelines de dados e processos ETL.
• Integrar Azure Databricks com outros serviços da Azure.

Conhecimentos

Experiência sólida com Azure Databricks

Tecnologias de big data

SQL avançado

CI/CD e controle de versões

Boas práticas de segurança em nuvem

Formação académica

BCA, MCA, BE, B.Tech ou equivalente

M.Tech ou MS em área relevante

Ferramentas

Azure Databricks

PySpark

Hadoop

Power BI

Descrição da oferta de emprego

Azure Analytics Architect GeorgiaTEK Systems Inc.•Guaíba, Rio Grande do Sul, Brazil

Descrição da vaga

Job Title : Analytics Architect – Azure Databricks / Azure Fabric

Location : Remote / Flexible

Experience : 12+ years in data engineering and analytics solutions

Role Summary

We are seeking an experienced Analytics Architect to lead the design, implementation, and optimization of advanced analytics solutions using Azure Databricks, Azure Fabric, and related cloud technologies. The ideal candidate will have deep expertise in big data, data engineering, cloud computing, and SQL, and will provide technical leadership to ensure scalable, high-performance data solutions aligned with business needs.

Key Responsibilities

• Lead architecture, design, and implementation of advanced analytics solutions using Azure Databricks and Azure Fabric.
• Collaborate with business stakeholders and IT teams to gather requirements and deliver effective data solutions.
• Oversee end-to-end implementation of data pipelines, ETL / ELT processes, and data transformation workflows.
• Integrate Azure Databricks with other Azure services such as Azure Data Lake, Azure Synapse, and Azure Data Factory, as well as on-premise systems.
• Ensure adherence to best practices for code quality, data security, and scalability.
• Mentor and guide the data engineering team, fostering a culture of continuous learning and improvement.
• Maintain proper documentation of architecture, processes, and data flows, ensuring compliance with governance standards.
• Stay updated on the latest advancements in Databricks, Azure analytics, and related technologies to drive innovation.

Essential Skills

• Strong hands-on experience with Azure Databricks, including cluster management, notebook development, and Delta Lake.
• Proficiency in big data technologies (Hadoop, Spark) and frameworks such as PySpark.
• Deep understanding of Azure services including Azure Data Lake, Azure Synapse, and Azure Data Factory.
• Strong SQL skills and familiarity with NoSQL databases.
• Experience with CI / CD pipelines and version control systems (e.g., Git).
• Knowledge of cloud security best practices and data governance.

Nice to Have

• Experience with Power BI for dashboarding and reporting.
• Knowledge of Microsoft Fabric for analytics and integration tasks.
• Familiarity with Spark Streaming for real-time data processing.
• Experience with Azure Resource Manager (ARM) templates and infrastructure-as-code practices.

Soft Skills

• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Strong problem-solving and analytical skills.
• Leadership and mentoring abilities to guide a team of data engineers effectively.
• Proactive and collaborative approach to cross-functional teamwork.

Educational Qualification

Minimum : BCA, MCA, BE, B.Tech, or equivalent.

Preferred : M.Tech or MS in a relevant field.