Azure Data Architect

3 semanas atrás

Jaguariúna, Brasil Stefanini Tempo inteiro
Job Summary

As a seasoned Azure Data Architect, you will be responsible for designing and implementing scalable data architectures on Azure using Databricks, Azure Synapse, Azure Data Lake, and other Azure services. Your expertise in data modeling, data integration, data warehousing, and database management systems will be essential in developing and maintaining the enterprise-wide data architecture strategy, ensuring alignment with business goals and scalable for growth.

Key Responsibilities
  • Design and implement scalable data architectures on Azure using Databricks, Azure Synapse, Azure Data Lake, and other Azure services.
  • Develop and maintain the enterprise-wide data architecture strategy, ensuring alignment with business goals and scalable for growth.
  • Define data models, data integration processes, and data storage solutions that support both batch and real-time data processing.
  • Collaborate with stakeholders to understand business requirements and translate them into effective data strategies and architectures.
  • Lead efforts to implement data governance, security, and compliance protocols, ensuring adherence to data privacy laws (e.g., GDPR, CCPA).
  • Work with data engineers and cloud architects to optimize data pipelines and workflows, using tools like Azure Data Factory and Microsoft Fabric for unified analytics.
  • Oversee the integration of data sources into reporting and analytics platforms like Power BI, ensuring accurate, timely, and actionable insights.
  • Monitor, troubleshoot, and optimize the performance of databases, data lakes, and data warehouses.
  • Ensure the scalability, reliability, and cost-efficiency of cloud data solutions.

Requirements
  • 7+ years of experience in data architecture and design, with expertise in Azure cloud services (Azure Synapse, Data Lake, Databricks).
  • Strong knowledge of Azure Data Factory for ETL processes, Databricks for data transformation, and Power BI for data visualization.
  • Expertise in data modeling, data integration, data warehousing, and database management systems.
  • Experience with cloud-native tools and services for large-scale data management , including Azure, AWS, or GCP.
  • Deep understanding of data governance, security, privacy regulations, and best practices for cloud-based data solutions.
  • Strong proficiency in SQL and experience with programming languages such as Python, Scala, or R.
  • Demonstrated ability to design solutions that integrate structured, semi-structured, and unstructured data from various sources (API, IoT, flat files, databases).
  • Familiarity with diverse BI and reporting tools (Power BI, Tableau, Qlik) for delivering insights to stakeholders.

What We Offer
  • Soft skills and technical training for current and emerging products and technologies.
  • Career development: opportunity to grow within the team.
  • Special referral bonuses for recommending your friends.
  • Private health insurance.
  • Friendly team who is eager to meet you.

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