Marx Enterprise Transformation Architecture | Cloud Architect
15 hours ago
Position Overview:
We are looking for an experienced Azure Architect specializing in data solutions to lead the design and implementation of robust, scalable, and efficient cloud-based architectures. The ideal candidate will have extensive experience working with Azure Data Factory (ADF), Databricks (Python Notebooks), and Python, along with a deep understanding of Azure microservices and data components. This role focuses exclusively on data management, transformation, and analytics.
Key Responsibilities:
- Architecting Azure-Based Data Solutions:
- Design and implement Azure cloud architectures for data integration, processing, and analytics.
- Develop scalable, secure, and cost-efficient pipelines using Azure Data Factory and Databricks.
- Ensure seamless data flow and transformation across data lakes, warehouses, and analytics platforms.
- Microservices Development:
- Build and manage Azure Microservices, including Functions, Service Bus, Event Grids, and Event Hubs.
- Implement API Management (APIM) for secure and efficient data access and communication.
- Collaborate with development teams to integrate microservices into larger data ecosystems.
- Advanced Python Usage:
- Develop and optimize Python-based solutions for data engineering and analytics within Databricks Notebooks.
- Write clean, efficient, and modular Python code for ETL, data transformation, and integration tasks.
- Leverage Python libraries for advanced data manipulation, machine learning, and visualization.
- Azure Data Components Management:
- Oversee the configuration and optimization of Azure data services such as Azure Data Lake, Synapse Analytics, and Azure Storage.
- Monitor and enhance the performance of data workflows and pipelines.
- Troubleshoot and resolve issues related to data ingestion, processing, and storage.
- Collaboration and Stakeholder Management:
- Work closely with business and technical teams to understand data requirements and translate them into technical solutions.
- Provide guidance and mentorship to development teams on Azure best practices.
- Ensure alignment of solutions with business goals and compliance with data governance policies.
- Documentation and Innovation:
- Prepare comprehensive documentation for architecture, design, and implementation processes.
- Stay updated on the latest Azure features and emerging trends in cloud data solutions.
- Propose innovative approaches to enhance system performance and data utilization.
Required Qualifications:
- Experience:
- 10+ years in data engineering/architecture with at least 3 years of hands-on Azure experience.
- Proven expertise in Azure Data Factory, Databricks, and Python.
- Technical Skills:
- Strong knowledge of Azure microservices: Functions, Service Bus, Event Grids, Event Hubs, and APIM.
- Deep understanding of Azure data components: Data Lake, Synapse Analytics, and related services.
- Proficiency in Python for data manipulation, analytics, and building reusable modules.
- Familiarity with CI/CD pipelines and Azure DevOps for deployment.
- Soft Skills:
- Excellent problem-solving and analytical abilities.
- Strong communication and collaboration skills with diverse stakeholders.
- Ability to work in a fast-paced, agile environment.
Preferred Qualifications:
- Certifications: Microsoft Certified: Azure Solutions Architect Expert or Microsoft Certified: Azure Data Engineer Associate.
- Experience in big data processing and analytics tools like Spark.
- Knowledge of data governance, security, and compliance in Azure.
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