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.