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Senior Data Architect

1 month ago

Louisville, Kentucky, United States Cays Inc Full time
Job Description

We are seeking a highly skilled Data Architect to lead the design and implementation of scalable, cloud-based data architectures leveraging Azure Data Lakehouse and Medallion Architecture principles.

Key Responsibilities:

  • Design and Implement Data Architecture: Lead the design and development of cloud-based data architectures, ensuring seamless integration with Azure Data Lakehouse and Medallion Architecture.
  • Azure Databricks and Delta Lake: Architect and implement data pipelines and ETL processes using Azure Databricks, ensuring ACID transactions, time travel, and optimized data storage.
  • Medallion Architecture: Implement the Medallion Architecture pattern, building Bronze, Silver, and Gold layers for efficient data processing, aggregation, and enrichment.
  • Customer Data Platform (CDP) Integration: Design and manage the data architecture to effectively handle customer data, integrating the Customer Data Platform (CDP) with the Azure data ecosystem.
  • Data Lakehouse Management: Lead the implementation and optimization of Azure Data Lake Storage (ADLS) for structured, semi-structured, and unstructured data storage, ensuring efficient querying and data retrieval.
  • Data Governance and Security: Define and implement robust data governance, security, and compliance practices using Azure tools like Data Catalog, Purview, and Key Vault.
  • Performance Optimization: Optimize data pipelines for performance, scalability, and cost-efficiency, ensuring data is processed efficiently and meets SLAs for downstream analytics and reporting systems.
  • Collaboration with Data Engineers and Analysts: Work closely with data engineers, business analysts, and data scientists to define data requirements, ensuring data pipelines meet business needs.
  • Real-Time Data Integration: Architect real-time data ingestion pipelines, integrating with various data sources and streamlining real-time analytics using Azure Databricks and Delta Lake.
  • Documentation and Best Practices: Establish best practices for data architecture, provide documentation for data pipelines and architecture, and ensure knowledge sharing across the organization.

Required Qualifications:

  • 5+ years of experience in data architecture and engineering, with expertise in Azure Databricks, Azure Data Lakehouse, and Delta Lake.
  • Hands-on experience implementing Medallion Architecture, building and managing Bronze, Silver, and Gold data layers.
  • Strong experience with Azure Data Lake Storage (ADLS) and integration with Delta Lake for efficient data storage and querying.
  • Customer Data Platform (CDP) experience, with the ability to design and integrate customer-centric data architectures that drive personalized analytics.
  • Experience in data governance, security, and compliance using Azure tools like Purview, Data Catalog, and Key Vault.
  • Proven experience in ETL/ELT development and real-time data ingestion pipelines, working with large-scale datasets.
  • Strong knowledge of SQL, Python, and Spark for data processing, analysis, and pipeline development.
  • Familiarity with data modeling techniques, big data technologies, and data warehousing in a cloud environment.
  • Excellent communication and collaboration skills, with the ability to work cross-functionally and lead data-driven initiatives.
  • Preferred Qualifications:
  • Experience with machine learning and advanced analytics workflows using Azure Databricks.
  • Familiarity with API integration and real-time data streaming solutions like Azure Event Hubs or Azure Stream Analytics.
  • Knowledge of DevOps for data, including automated CI/CD pipelines for data deployments.

Education:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.