Aureon

Data Architect

Aureon$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, Information Systems, Engineering, or equivalent experience
  • 8+ years in data architecture and/or data engineering roles
  • Proven experience designing enterprise-scale Azure solutions
  • Hands-on experience with Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Data Factory, and 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

Responsibilities

  • Define and own enterprise data architecture across analytical, operational, and integration platforms
  • Design scalable cloud-based and hybrid data platforms, such as data lakes and lakehouses
  • Establish and enforce data architecture standards and best practices
  • Partner with various teams to translate requirements into data solutions
  • Ensure compliance with security, governance, and privacy requirements
  • Lead architecture reviews and provide technical guidance to teams
  • Evaluate and recommend data technologies and platforms
  • Design and build robust data pipelines for ingestion, transformation, and delivery

Benefits

  • Collaborative work environment with cross-functional teams
  • Opportunity to lead and influence data architecture direction
  • Chance to work with cutting-edge data technologies and platforms
  • Potential for professional development in cloud and data governance
  • Engagement in innovative projects that support AI and machine learning workloads
Full Job Description
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


About Aureon

Aureon is a business services company that provides a wide range of services to businesses of all sizes. The company was founded in 1989 and is headquartered in West Des Moines, Iowa. Aureon's services include IT consulting, network services, data center services, and more. The company has a team of experienced professionals who work closely with clients to understand their needs and develop customized solutions that meet those needs. Aureon is committed to providing high-quality services and has a strong focus on customer satisfaction. The company has a proven track record of success and has helped many businesses achieve their goals.
Learn more about Aureon
Size
500 employees
Industry

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