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Senior Azure Data Architect

Job Description - Senior Azure Data Architect

Job Description:

  • Support design and
    implementation to improve, modernize, and transform data-driven service
    delivery.

  • Ensure data assets are
    structured, accessible, secure, and align with DCYF, MNIT, and Enterprise
    goals.

  • Recommend data platforms
    and tools to support enterprise data architecture.

  • Develop data models.
  • Ensure data access
    patterns are optimized.

  • Maintain necessary
    documentation.

  • Coordinate with
    necessary teams to meet security standards.

  • Support design and
    development of disaster recovery solutions.

  • Provide knowledge
    transfer.

 

Desired Qualifications

  • Strong experience with
    designing, developing, and implementing data lakes and relational and
    non-relational databases in Azure.

  • Strong experience with
    Databricks.

  • Strong experience with
    Oracle databases.

  • Experience developing
    and implementing data transformation solutions and cloud infrastructure
    integrations.

  • Experience coding and
    testing programs and scripts to load data using Azure data load utilities.

  • Experience with CI/CD
    pipelines.

  • Experience with cloud
    computing concepts.

  • Experience with tools
    such as Azure Monitor, Azure Data Factory, SQL Analytics, Query
    Performance Insight, Azure Resource Manager, Pearl, and Azure
    CLI/PowerShell for infrastructure management.

  • Experience in mentoring
    others in the needed technologies.

  • Experience developing
    and implementing backup and recovery strategies using tools such as Azure
    Backup or Geo-replication.

  • Experience with
    role-based access control, encryption, and network security.

  • Strong organizational
    and time management skills.

  • Desired 10 years’
    experience in data architecture or data management.

  • Knowledge of data
    concepts, data modeling, schema design, and indexing strategies.

  • Knowledge of Azure SQL
    instances, managed instances, and elastic pools.

  • Knowledge of Data
    Warehouse Administration and Teradata Data Warehouse.

 

 



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