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Data Architect

  • Data Architect job type Posted on: Oct 14, 2026
  • Data Architect experience level Openkyber
  • Data Architect employment type Atlanta, Georgia
  • Data Architect employment type Onsite
  • Data Architect salary Full-time
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Job Title :

Data Architect

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Lead enterprise Data Warehouse and Data Engineering initiatives. Design and optimize AWS Redshift data warehouse solutions. Build scalable ETL/ELT pipelines using Informatica IDMC and cloud technologies. Develop and maintain ODS, EDW, Data Lakes, and Data Marts. Implement Data Governance, Data Lineage, Data Catalog, and Data Quality frameworks. Optimize SQL performance and large-scale data processing. Build and support CI/CD pipelines using Jenkins and GitHub. Work with Python for automation and data engineering tasks. Partner with business, compliance, and security teams to ensure regulatory compliance. Lead AI-driven data management initiatives and mentor engineering teams.

Required Skills 10+ years of Data Engineering/Data Warehouse experience. 5+ years of technical leadership experience. Strong hands-on experience with: AWS Redshift Informatica IDMC Cloud ETL/ELT SQL Performance Tuning Data Modeling Data Governance Data Lineage & Metadata Management Data Quality Frameworks Python Jenkins / GitHub CI/CD Experience with AWS or Azure Cloud. Knowledge of SOC2, PCI DSS, or similar compliance standards. Excellent communication and leadership skills.
Preferred Skills Financial Services / FinTech experience. Azure Data Engineer or other Cloud Certifications. Experience with AI/Generative AI implementations in Data Engineering.

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Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

89363-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Lead enterprise Data Warehouse and Data Engineering initiatives. Design and optimize AWS Redshift data warehouse solutions. Build scalable ETL/ELT pipelines using Informatica IDMC and cloud technologies. Develop and maintain ODS, EDW, Data Lakes, and Data Marts. Implement Data Governance, Data Lineage, Data Catalog, and Data Quality frameworks. Optimize SQL performance and large-scale data processing. Build and support CI/CD pipelines using Jenkins and GitHub. Work with Python for automation and data engineering tasks. Partner with business, compliance, and security teams to ensure regulatory compliance. Lead AI-driven data management initiatives and mentor engineering teams.

Required Skills 10+ years of Data Engineering/Data Warehouse experience. 5+ years of technical leadership experience. Strong hands-on experience with: AWS Redshift Informatica IDMC Cloud ETL/ELT SQL Performance Tuning Data Modeling Data Governance Data Lineage & Metadata Management Data Quality Frameworks Python Jenkins / GitHub CI/CD Experience with AWS or Azure Cloud. Knowledge of SOC2, PCI DSS, or similar compliance standards. Excellent communication and leadership skills.
Preferred Skills Financial Services / FinTech experience. Azure Data Engineer or other Cloud Certifications. Experience with AI/Generative AI implementations in Data Engineering.

For applications and inquiries,

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