Job Description
Job Description:
· As an Azure Database Architect, this position will participate in the analysis and design, and support development, implementation, and potentially ongoing support of Azure Databases and Data Lakes, with a primary focus on the Data Lakehouse and its integrated data reserves.
· The responsibilities will include designing, administering, maintaining, and securing data to ensure efficient and reliable data storage solutions.
· The position will collaborate with cross-functional teams to optimize data workflows, support data-driven decision-making, and implement best practices for data security and integrity in Azure environments.
· This position also will provide mentorship to other architects and database engineers.
Job Responsibility:
· 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.
Requirements
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.
Requirements
• 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.