Data Architect
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Key skills for this role
Key Skills for This Role
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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
About Aureon
Aureon is a privately held Iowa technology company providing businesses connectivity, managed IT, consulting, and contact-center services.
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