Azure Stack Data Engineer

AAON, Inc.•Tulsa, OK

25d

About The Position

Job Summary: We are seeking an experienced Azure Stack Data Engineer to design, build, and optimize data solutions leveraging Microsoft Azure technologies. This role ensures secure, scalable, and efficient data pipelines and storage to enable advanced analytics and business intelligence. The ideal candidate combines strong technical expertise with business acumen and collaboration skills to deliver data-driven insights across the enterprise. Essential Job Duties and Responsibilities: Data Architecture & Engineering Design and implement data pipelines using Azure Data Factory, Azure Synapse, and Azure Functions. Develop ETL processes for structured and unstructured data. Optimize data storage in Azure Data Lake, Azure SQL, and related services. Integration & Automation Integrate data from ERP systems (e.g., SAP), CRM (Dataverse), and legacy platforms. Automate workflows using Azure Logic Apps and Event Hub for real-time processing. Performance & Security Ensure data quality, security, and compliance with organizational standards. Implement monitoring and alerting for data pipelines and storage performance. Collaboration Partner with data analysts, architects, and business stakeholders to translate requirements into technical solutions. Support BI teams with optimized datasets for Power BI and other reporting tools. Competency Requirements: Technical Competencies Expertise in Azure services: Data Factory, Synapse Analytics, Data Lake, Azure SQL, and hybrid Azure Stack environments. Strong skills in ETL workflows, data modeling, and schema optimization. Proficiency in Python, SQL, and scripting for automation. Knowledge of cloud security principles and compliance frameworks. Business & Analytical Competencies Understands how data solutions impact business processes and decision-making. Ability to analyze complex data challenges and propose scalable solutions. Leadership & Collaboration Competencies Communicates technical concepts clearly to non-technical stakeholders. Works effectively in cross-functional teams, fostering collaboration and knowledge sharing. Responds quickly to changing priorities and emerging technologies. Knows when to escalate and collaborate. Innovation Competencies Identifies opportunities for automation and process optimization. Keeps up with trends in AI, IoT, and advanced analytics to guide future solutions.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or related field.
3+ years of experience in data engineering with Azure technologies.
Expertise in Azure services: Data Factory, Synapse Analytics, Data Lake, Azure SQL, and hybrid Azure Stack environments.
Strong skills in ETL workflows, data modeling, and schema optimization.
Proficiency in Python, SQL, and scripting for automation.
Knowledge of cloud security principles and compliance frameworks.
Understands how data solutions impact business processes and decision-making.
Ability to analyze complex data challenges and propose scalable solutions.
Communicates technical concepts clearly to non-technical stakeholders.
Works effectively in cross-functional teams, fostering collaboration and knowledge sharing.
Responds quickly to changing priorities and emerging technologies.
Knows when to escalate and collaborate.
Familiarity with DevOps practices and CI/CD pipelines for data solutions.
Exposure to Power BI, Fabric, and advanced analytics tools.
Sitting for prolonged periods
View a computer monitor for long periods
Cognitive ability to process complex information, analyze data, and solve problems.

Nice To Haves

Experience with Azure Stack Hub or hybrid cloud environments.
Knowledge of containerization (Docker/Kubernetes) and microservices architecture.

Responsibilities

Design and implement data pipelines using Azure Data Factory, Azure Synapse, and Azure Functions.
Develop ETL processes for structured and unstructured data.
Optimize data storage in Azure Data Lake, Azure SQL, and related services.
Integrate data from ERP systems (e.g., SAP), CRM (Dataverse), and legacy platforms.
Automate workflows using Azure Logic Apps and Event Hub for real-time processing.
Ensure data quality, security, and compliance with organizational standards.
Implement monitoring and alerting for data pipelines and storage performance.
Partner with data analysts, architects, and business stakeholders to translate requirements into technical solutions.
Support BI teams with optimized datasets for Power BI and other reporting tools.
Identifies opportunities for automation and process optimization.
Keeps up with trends in AI, IoT, and advanced analytics to guide future solutions.