Data Architect

Iowa Network Services, Inc.

West Des Moines, IA, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Artificial Intelligence Architectural Patterns Automation of Tests Microsoft Azure Software as a Service Cloud Computing Information Systems Continuous Integration Data Architecture Information Engineering Data Governance Data Integration

+20 more

Extract Transform Load (ETL) Data Systems Python (Programming Language) Meta-Data Management Performance Tuning Power BI DataOps Azure Data Lake Feature Engineering Azure Data Factory Sql Optimization Build Management Microsoft Fabric Data Lakes Information Technology Collibra Data Management Azure Synapse Analytics Data Pipelines Databricks

Job description

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

Requirements

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
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