Azure Data Services Engineer

Overview

On Site
USD68 - USD79
Contract - W2

Skills

Azure Data Services Engineer

Job Details

job summary:

We are seeking a skilled and proactive Azure Cloud Engineer to join our team. This role focuses on designing, implementing, and supporting Azure-based data services, ensuring adherence to database and storage best practices, and delivering robust operational support for cloud infrastructure and data platforms.





location: Charlotte, North Carolina

job type: Contract

salary: $68 - 79 per hour

work hours: 9am to 5pm

education: Bachelors



responsibilities:


Key Responsibilities:


Design, deploy, and manage Azure data services including Azure SQL Database, Cosmos DB, Azure Data Factory, and Azure Synapse Analytics.


Optimize data storage, access, and performance across distributed systems.


Experience of integrating Azure data services with Azure Databricks


Collaborate with data engineering and application teams to ensure optimal data ingestion, transformation, and storage strategies.


Database Best Practices:


Define and enforce standards for database design, indexing, partitioning, and query optimization.


Implement backup, recovery, and high availability strategies.


Ensure compliance with data governance, security, and privacy policies.


Operational Support:


Monitor and troubleshoot Azure infrastructure and data services using tools like Azure Monitor, Log Analytics, and Application Insights.


Automate routine tasks using Infrastructure as Code (IaC) tools such as Terraform and ARM templates.


Maintain clear documentation of architecture, configurations, and operational procedures.


Required Qualifications:


7+ years of experience in cloud engineering, with at least 4 years focused on Microsoft Azure.


Strong expertise in Azure data services (e.g., Azure SQL, Cosmos DB, Data Factory).


Experience with Azure Databricks Platform is preferred.


Proficiency in scripting (PowerShell, Python) and automation tools (Terraform, Azure CLI).


Solid understanding of database administration, performance tuning, and security.


Advanced proficiency in Terraform, Python, and PowerShell/Bash.


Experience with CI/CD tools (Azure DevOps, GitHub Actions) and Agile methodologies.


Familiarity with monitoring, logging, and alerting best practices in cloud environments.




qualifications:

Required Qualifications:


- 7+ years of experience in cloud engineering, with at least 4 years focused on Microsoft Azure.


- Strong expertise in Azure data services (e.g., Azure SQL, Cosmos DB, Data Factory).


- Experience with Azure Databricks Platform is preferred.


- Proficiency in scripting (PowerShell, Python) and automation tools (Terraform, Azure CLI).


- Solid understanding of database administration, performance tuning, and security.


- Advanced proficiency in Terraform, Python, and PowerShell/Bash.


- Experience with CI/CD tools (Azure DevOps, GitHub Actions) and Agile methodologies.


- Familiarity with monitoring, logging, and alerting best practices in cloud environments.




Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.