ESSENTIAL DUTIES AND RESPONSIBILITIES:
Data Architecture (≈70%)
- Define and own enterprise data architecture across analytical, operational, and integration platforms
- Design logical, physical, and conceptual data models to support analytics, reporting, AI/ML, and operational use cases
- Establish and enforce data architecture standards, patterns, and best practices
- Design scalable cloud-based and hybrid data platforms (e.g., data lakes, lakehouses, warehouses)
- Partner with business, analytics, security, and application teams to translate requirements into data solutions
- Ensure data solutions align with security, governance, privacy, and compliance requirements
- Lead architecture reviews and provide technical guidance to data engineers and analytics teams
- Evaluate and recommend data technologies, tools, and platforms
- Ensure data governance, metadata management, data quality, and lineage initiatives
Data Engineering (≈30%)
- Design and build robust data pipelines (batch and streaming) for ingestion, transformation, and delivery
- Develop and optimize ETL/ELT processes using modern data engineering frameworks
- Collaborate with engineers to implement architectural patterns in production systems
- Ensure pipelines are reliable, scalable, performant, and cost-efficient
- Troubleshoot data issues and optimize queries, storage, and processing
- Support CI/CD practices, automated testing, and monitoring for data workflows
EDUCATION, TRAINING, AND EXPERIENCE:
- Bachelor's degree in computer science, Information Systems, Engineering, or equivalent experience
- 8+ years of experience in data architecture and/or data engineering roles
REQUIRED SKILLS:
- Proven experience designing enterprise-scale Azure
- Strong hands-on experience with:
- Azure Data Lake Storage Gen2
- Azure Synapse Analytics
- Azure Data Factory
- Azure Databricks or Microsoft Fabric
- Advanced SQL skills and experience with Python (preferred)
- Strong knowledge of data modeling, performance tuning, and cost optimization in Azure
- Experience integrating data from SaaS, on-prem, and cloud-based systems
- Ability to clearly communicate architectural decisions to both technical and non-technical stakeholders
- Background with Data Governance Framework
Preferred Skills:
- Experience designing data architectures that support AI and machine learning workloads, including feature engineering, training, inference, and monitoring at scale.
TOOLS, EQUIPMENT, AND SOFTWARE:
- Experience with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Power BI integration)
- Familiarity with Power BI semantic models and analytics consumption patterns
- Knowledge of Azure Purview / Microsoft Purview for data governance and lineage
- Experience with event-driven and streaming architectures in Azure
- Understanding of DataOps / DevOps practices in an Azure environment
- Experience supporting regulated or security-conscious enterprise environments
WORKING CONDITIONS AND PHYSICAL REQUIREMENTS:
- Primarily indoor work in an office environment requiring long periods of sitting
- Frequent utilization of manual dexterity and visualizing of a computer screen
- No unusual physical requirements
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
What We Do
At Aureon, we offer reliable business solutions so our clients can focus on their day-to-day operations. For more than 30 years, connectivity has driven our business and has been woven into the network of solutions we offer customers. From Telecommunications and IT Technology to Consulting to Contact Center Operations, we develop creative and customized solutions based on our knowledge and understanding of our clients. When you connect with Aureon, you connect with solutions. For more information, visit Aureon.com.







.png)