Azure Stack Data Engineer

*
* 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.
*
* Qualifications:

*** Bachelor’s degree in Computer Science, Information Systems, or related field.
* ** 3+ years
** of experience in data engineering with Azure technologies.
* Familiarity with
** Dev Ops practices
** and CI/CD pipelines for data solutions.
* Exposure to
** Power BI**,
** Fabric**, and advanced analytics tools.
*
* Preferred Qualifications:

*** Experience with Azure Stack Hub or hybrid cloud environments.
* Knowledge of containerization (Docker/Kubernetes) and microservices architecture.
** Work Environment:
** Work is primarily performed in a climate-controlled office environment.
** Physical Demands:
*** Sitting for prolonged periods
* View a computer monitor for long periods
* Cognitive ability to process complex information, analyze data, and solve problems.
** Disclaimer:
** Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. This job description is not an exhaustive list of all functions that the employee may be required to perform, and the employee may be required to perform additional functions.

The company reserves the right to revise this job description at any time. The employee must be able to perform the essential functions of the position satisfactorily. If requested, reasonable accommodation may be made to enable employees with disabilities to perform the essential functions of the job, absent undue hardship.
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