Data Architect

66degrees is seeking an experienced Data Architect to design, develop, and maintain our Microsoft Azure data architecture. The ideal candidate will have a strong background in data architecture, data engineering, and cloud technologies, with experience in managing data across Microsoft Azure platforms.

Requirements

• GCP Cloud Architecture: Design, implement, and manage robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP), leveraging services like Azure Synapse Analytics, Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage (ADLS) Gen2, Azure Databricks, Azure Functions, and Azure Logic Apps.
• Data Modeling: Develop and maintain conceptual, logical, and physical data models to support various business needs.
• Big Data Processing: Design and implement solutions for processing large datasets using technologies such as Spark and Hadoop.
• Data Governance: Establish and enforce data governance policies, including data quality, security, compliance, and metadata management.
• Data Pipelines: Build and optimize data pipelines for efficient data ingestion, transformation, and loading.
• Performance Optimization: Monitor and tune data systems to ensure high performance and availability.
• Collaboration: Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and provide architectural guidance.
• Innovation: Stay current with the latest technologies and trends in data architecture and cloud computing.