Data Architect

Aureon; West Des Moines (IA); On-site; USD 120,000 - 180,000; Full time

Job summary

Aureon is seeking an experienced Enterprise Data Architect to own and evolve our data architecture across analytics, operations, and integration platforms. You will design logical, physical, and conceptual data models to support analytics, reporting, AI/ML, and operational use cases.

Collaborate with business, analytics, security, and application teams to translate requirements into robust data solutions while ensuring governance, privacy, and compliance.

Qualifications

• Bachelor's degree or higher and 8+ years in data architecture/engineering.
• Strong communication to translate requirements to technical design.
• Experience with Azure-based data platforms and governance frameworks.

Responsibilities

• Own enterprise data architecture across analytics, operations, and integration platforms.
• Design scalable data models (logical, physical, conceptual) for analytics, reporting, and AI/ML.
• Establish and enforce data architecture standards, patterns, and best practices.
• Design cloud-based/hybrid data platforms and pipelines (batch/streaming).
• Lead architecture reviews and provide guidance to data engineers.
• Ensure data governance, security, privacy, and compliance.

Skills

Azure Databricks

Microsoft Fabric

SQL

Python

Data modeling

Performance tuning

Cost optimization

Data governance

Education

Bachelor's degree

Tools

Power BI

Azure Purview

OneLake

Lakehouse

CI/CD

Job description

• 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 andprovidetechnical guidance to data engineers and analytics teams
• Evaluate and recommend data technologies, tools, and platforms
• Ensuredata governance, metadata management, data quality, and lineage initiatives
• Design and build robust data pipelines (batch and streaming) for ingestion, transformation, and delivery
• Develop andoptimizeETL/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 andoptimizequeries, 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:

• Strong hands-on experience with:
• 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 ofDataOps/ 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 requiringlong periodsof sitting
• Frequentutilizationof manual dexterity and visualizing of a computer screen
• No unusual physical requirements

Equal Opportunity Employer
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