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Data Architect

Jobs via Dice, Springfield, Illinois, us, 62777

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Jobs via Dice Get AI-powered advice on this job and more exclusive features. 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 Architect

Location: Hybrid 2 Days Onsite in Springfield

Duration:

12 Months 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 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 level

Mid-Senior level Employment type

Employment type

Full-time Job function

Job function

Engineering and Information Technology Industries

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