Data Architect Job West Des Moines area,Iowa USA,IT/Tech

Overview

Enterprise data architecture and engineering role responsible for designing and governing data platforms, models, pipelines, and governance across analytical, operational, and integration domains. Collaborates with business, analytics, security, and application teams to deliver scalable, secure data solutions.

Responsibilities

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, lake houses, 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
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

Qualifications

Bachelor's degree in computer science, Information Systems, Engineering, or equivalent experience
8+ years of experience in data architecture and/or data engineering roles
Proven experience designing enterprise-scale Azure
Hands-on experience with:
- Azure Data Lake Storage Gen2
- Azure Synapse Analytics
- Azure Data Factory
- Azure Databricks or Microsoft Fabric
- Advanced SQL skills and Python (preferred)
- Data modeling, performance tuning, and cost optimization in Azure
- Integrating data from SaaS, on-prem, and cloud-based systems
- Ability to communicate architectural decisions to technical and non-technical stakeholders
- Background with Data Governance Framework
Experience designing data architectures that support AI and machine learning workloads (preferred)
Experience with Microsoft Fabric (One Lake, 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 Data Ops / Dev Ops practices in an Azure environment
Experience supporting regulated or security-conscious enterprise environments

Tools, Equipment, And Software

Experience with Microsoft Fabric (One Lake, 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 Data Ops / Dev Ops practices in an Azure environment
Experience supporting regulated or security-conscious enterprise environments

Working Conditions

Primarily indoor work in an office environment with long periods of sitting
Frequent use of computer equipment
No unusual physical requirements

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