Senior Data Analyst – Azure Data Engineering & Analytics

Title

Senior Data Analyst – Azure Data Engineering & Analytics

Location

Raleigh, NC 27607

Duration

12+ Months

Work arrangement

Hybrid

Interview

In-Person

Job Description

NC DHHS requires the services of a Senior Data Analyst – Azure Data Engineering & Analytics

who will help design, manage, and optimize enterprise data pipelines, data warehouses, and advanced analytics solutions using Microsoft Azure services such as Synapse, Fabric, and AI.

The role transforms complex data into business insights and drives advanced analytics using Azure Synapse Analytics, Microsoft Fabric, and Azure AI services.

Key Responsibilities

• Design, build, and maintain robust enterprise ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or PL/SQL procedures.
• Manage and optimize Azure Synapse Analytics (SQL and Spark pools) and Microsoft Fabric Lakehouse.
• Develop, test, and tune complex SQL and PL/SQL scripts, stored procedures, packages, and functions to support data integration.
• Collaborate with business users to define analytical goals and build Power BI-ready datasets.
• Integrate AI and machine learning insights using Azure Machine Learning and Azure OpenAI Service.
• Enforce data governance, quality, and security via Microsoft Purview and Microsoft Entra ID.
• Build cross-functional reporting, dashboards, and predictive analytics models.

Required / Desired Skill Set

• Experience in enterprise data analytics, engineering, and designing complex ETL workflows.
• Expertise in Azure Synapse Analytics, Azure Data Factory, and cloud data warehousing.
• Advanced SQL and PL/SQL skills, including query optimization, performance tuning, and indexing strategies.
• Hands-on experience with PySpark, Python, or Scala.
• Experience with data modeling, performance tuning, and cost optimization in Azure.
• Strong knowledge of Microsoft Entra ID, role-based access control (RBAC), and cloud security.
• Familiarity with Power BI semantic models and dataflows.
• Knowledge of Azure OpenAI or generative AI data integration. (Highly Desired)
• Ability to organize, prioritize, and follow complex and/or detailed technical procedures.
• Experience with Agile (Scrum, Kanban, or SAFe) development.