The Role
Design, modernize, and govern enterprise data platforms in Azure. Develop data models, optimize access patterns, implement data transformation and DR solutions, ensure security and documentation, coordinate teams, and provide knowledge transfer and mentoring.
Summary Generated by Built In
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.
Skills Required
- Designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
- Strong experience with Databricks.
- Strong experience with Oracle databases.
- Developing and implementing data transformation solutions and cloud infrastructure integrations.
- 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.
- Mentoring others in the needed technologies.
- 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.
- Approximately 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.
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Novalink Solutions LLC is a global consulting, engineering, and AI product development company specializing in information technology and telecommunications. They provide AI-powered products, automation platforms, intelligent workflow systems, IT consulting, managed engineering, and staff augmentation services.
.jpg)
