What are the responsibilities and job description for the Data Architect position at Aureon?
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