Data Architect - Jobs via Dice : Job Details

Data Architect

Jobs via Dice

Job Location : Springfield,IL, USA

Posted on : 2025-08-17T00:42:27Z

Job Description :

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Zion Cloud Solutions, is seeking the following. Apply via Dice today!Position: Data ArchitectLocation: Hybrid 2 Days Onsite in SpringfieldDuration: 12 Months with Potential ExtensionJob 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 modelling, 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 modelling 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 modelling tools (e.g., Erwin, Lucid chart, 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.).

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

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