Data Architect

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2

Skills

Data Architect
Cloud
Public Sector
data architecture solutions
BI
data engineering

Job Details

Position: Data Architect
Location: Hybrid/Springfield, IL

Duration: Full-time/Long Term Contract With potential extension.

 

Job Summary:
Zion is seeking a highly experienced and strategic Data Architect to design and optimize our enterprise data architecture. The ideal candidate will have a deep understanding of data modeling, integration, governance, and cloud platforms. This is a hybrid role requiring onsite presence in Springfield two days a week and remote work for the remaining days.

 

Key Responsibilities:

  • Design, implement, and maintain scalable and secure data architecture solutions.
  • Lead data modeling efforts (conceptual, logical, and physical).
  • Define data governance and data quality standards.
  • Collaborate with business analysts, data engineers, and stakeholders to translate business needs into technical solutions.
  • Ensure efficient data integration from various sources (on-prem, cloud, third-party).
  • Evaluate and recommend new technologies and tools for data architecture.
  • Maintain documentation for data architecture, workflows, and governance.
  • Support analytics, BI, and reporting needs across the organization.
  • Ensure compliance with data privacy and security regulations (HIPAA, GDPR, etc., if applicable).
  • Implement and manage data warehouse or data lake solutions on cloud platforms such as Azure, Google Cloud Platform, or AWS.

 

Required Qualifications:


  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
  • 8+ years of experience in data architecture, data engineering, or similar roles.
  • Expertise in data modeling tools (e.g., Erwin, Lucidchart, etc.).
  • Strong experience with relational (SQL Server, PostgreSQL) and NoSQL databases (MongoDB, Cassandra).
  • Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Proven experience implementing data warehouse or data lake solutions in Azure, Google Cloud Platform, or AWS environments.
  • Familiarity with ETL/ELT pipelines and tools (Informatica, Talend, Azure Data Factory, etc.).
  • Experience with data warehousing and data lakes.
  • Strong understanding of data governance, lineage, and cataloging tools (e.g., Collibra, Alation).

Excellent communication and stakeholder management skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.