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Aws Data Architect

  • Aws Data Architect job type Posted on: Oct 22, 2026
  • Aws Data Architect experience level TalentOla
  • Aws Data Architect employment type Atlanta, Georgia
  • Aws Data Architect employment type Onsite
  • Aws Data Architect salary CTC
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Job Title :

Aws Data Architect

Job Type :

Contract

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Data Architect
  • 80-85 Max rate Atlanta GA (Onsite)
  • Mphasis /Delta Airlines
Exp: 10+ years in IT, with at least 5+ years specializing in data architecture, data warehousing, and large-scale data engineering.
We are seeking a visionary and hands-on Senior Data Architect to spearhead the design, development, and optimization of our enterprise data ecosystem on AWS. In this role, you will bridge the gap between complex business requirements and robust, scalable cloud infrastructure. You will architect enterprise-grade data pipelines, modern data lakes/warehouses, and real-time streaming architectures that power our core enterprise applications and analytics platforms.
Key Responsibilities
Requirements Translation & Business Partnership
Partner closely with business stakeholders and technical SMEs to identify required data, locate source systems, and translate complex business rules into clear, actionable data requirements and robust solution designs.
Cloud Data Architecture & Scalability
Design and evaluate scalable cloud data structures and warehousing solutions on AWS that expertly support application needs, current data volumes, and long-term future growth.
Modernize legacy on-premises data systems and monolithic databases into cloud-native, microservices-friendly data stores.
Data Integration & Process Design
Define how data is collected, transformed, stored, and kept current across the enterprise.
Leverage deep experience in ETL automation and orchestration to build reliable, maintainable, and high-performance data pipelines.
Technical Execution & Guidance (SQL & Python)
Bring practical, hands-on experience manipulating data and implementing complex transformation logic.
Provide the technical depth needed to validate results, troubleshoot complex data issues, and guide developers through hands-on implementation.
Governance, Security, & Collaboration
Establish enterprise-wide data governance, metadata management, and compliance controls (GDPR, CCPA, SOC2) using tools like AWS Lake Formation and the Glue Data Catalog.
Collaborate with Enterprise Architects, Software Engineers, and DevOps to align data patterns with application requirements and CI/CD pipelines.
Required Qualifications & Skills
Experience: 10+ years in IT, with at least 5+ years specializing in data architecture, data warehousing, and large-scale data engineering.
AWS Expertise: Deep, hands-on experience designing architectures using core AWS data services:
Storage & Warehousing: Amazon Redshift, Amazon S3, Amazon DynamoDB, Amazon Aurora / RDS.
Processing & Ingestion: AWS Glue, Amazon Kinesis, Amazon EMR, AWS Lambda, MSK (Managed Streaming for Apache Kafka).
Governance & Security: AWS Lake Formation, IAM, KMS.
Technical Stack:
Advanced proficiency in SQL and programming languages like Python (or Scala) for data manipulation and transformation logic.
Experience with orchestration tools (e.g., Apache Airflow, AWS Step Functions) and Infrastructure as Code (Terraform, AWS CloudFormation).
Certifications: AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect (Professional preferred).

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Jobcon Logo Position Details

Posted:

Oct 22, 2026

Reference Number:

7728-13435

Employment:

CTC

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Data Architect
  • 80-85 Max rate Atlanta GA (Onsite)
  • Mphasis /Delta Airlines
Exp: 10+ years in IT, with at least 5+ years specializing in data architecture, data warehousing, and large-scale data engineering.
We are seeking a visionary and hands-on Senior Data Architect to spearhead the design, development, and optimization of our enterprise data ecosystem on AWS. In this role, you will bridge the gap between complex business requirements and robust, scalable cloud infrastructure. You will architect enterprise-grade data pipelines, modern data lakes/warehouses, and real-time streaming architectures that power our core enterprise applications and analytics platforms.
Key Responsibilities
Requirements Translation & Business Partnership
Partner closely with business stakeholders and technical SMEs to identify required data, locate source systems, and translate complex business rules into clear, actionable data requirements and robust solution designs.
Cloud Data Architecture & Scalability
Design and evaluate scalable cloud data structures and warehousing solutions on AWS that expertly support application needs, current data volumes, and long-term future growth.
Modernize legacy on-premises data systems and monolithic databases into cloud-native, microservices-friendly data stores.
Data Integration & Process Design
Define how data is collected, transformed, stored, and kept current across the enterprise.
Leverage deep experience in ETL automation and orchestration to build reliable, maintainable, and high-performance data pipelines.
Technical Execution & Guidance (SQL & Python)
Bring practical, hands-on experience manipulating data and implementing complex transformation logic.
Provide the technical depth needed to validate results, troubleshoot complex data issues, and guide developers through hands-on implementation.
Governance, Security, & Collaboration
Establish enterprise-wide data governance, metadata management, and compliance controls (GDPR, CCPA, SOC2) using tools like AWS Lake Formation and the Glue Data Catalog.
Collaborate with Enterprise Architects, Software Engineers, and DevOps to align data patterns with application requirements and CI/CD pipelines.
Required Qualifications & Skills
Experience: 10+ years in IT, with at least 5+ years specializing in data architecture, data warehousing, and large-scale data engineering.
AWS Expertise: Deep, hands-on experience designing architectures using core AWS data services:
Storage & Warehousing: Amazon Redshift, Amazon S3, Amazon DynamoDB, Amazon Aurora / RDS.
Processing & Ingestion: AWS Glue, Amazon Kinesis, Amazon EMR, AWS Lambda, MSK (Managed Streaming for Apache Kafka).
Governance & Security: AWS Lake Formation, IAM, KMS.
Technical Stack:
Advanced proficiency in SQL and programming languages like Python (or Scala) for data manipulation and transformation logic.
Experience with orchestration tools (e.g., Apache Airflow, AWS Step Functions) and Infrastructure as Code (Terraform, AWS CloudFormation).
Certifications: AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect (Professional preferred).

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