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Data Architect

Posted on: Oct 14, 2026

Openkyber
Atlanta, Georgia
Salary: $55 per hour
Onsite
Full-time

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Job Title :

Data Architect

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

Job Description :

We have Contract role Data Architect-Hybrid for client at Reading PA.

Position Details:

Data Architect-Hybrid-Reading PA
Location : Reading, PA 19601 - Hybrid
Project Duration : 06+ months contract
Pay Rate : $55 - $60 an hour on W2

Qualifications:

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
10+ years of experience in data architecture, data engineering, or enterprise data platform development.
5+ years of experience leading data engineering projects and delivering enterprise-scale data solutions.
Strong expertise in data modeling, data warehousing, ETL/ELT, and cloud-based data platforms.
Experience designing distributed, scalable, and high-performance data architectures.
Strong understanding of Agile development methodologies, CI/CD, and DevOps practices.
Excellent communication, stakeholder management, and leadership skills.

Preferred Technical Skills

Cloud & Data Platforms: AWS, Snowflake, S3, EMR, Glue, Redshift
Data Engineering: Spark, Kafka, Airflow, Talend, dbt, Python, SQL
Databases: SQL Server, PostgreSQL, Aurora, DynamoDB
Architecture: Data Lake/Lakehouse, Event-Driven Architecture, Microservices, REST APIs, Data Modeling
DevOps: Kubernetes, Docker, Git, CI/CD, Infrastructure as Code

Deliverables

Define and maintain enterprise data architecture, including conceptual, logical, and physical data models.
Design scalable cloud-based data platforms, data warehouses, and data lake solutions to support business intelligence, analytics, and AI initiatives.
Lead the design and implementation of data integration, ETL/ELT, streaming, and batch processing solutions.
Partner with business stakeholders, product managers, architects, and engineering teams to translate business requirements into scalable technical solutions.
Ensure data platforms are reliable, performant, secure, and highly available through monitoring, automation, and operational best practices.
Evaluate emerging technologies and recommend improvements to modernize the enterprise data ecosystem.
Collaborate with cross-functional teams to support AI/ML, advanced analytics, and enterprise reporting initiatives.

For applications and inquiries,

Position Details

Posted:

Oct 14, 2026

Reference Number:

89339-38381

Employment:

Full-time

Salary:

$55 per hour

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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We have Contract role Data Architect-Hybrid for client at Reading PA.

Position Details:

Data Architect-Hybrid-Reading PA
Location : Reading, PA 19601 - Hybrid
Project Duration : 06+ months contract
Pay Rate : $55 - $60 an hour on W2

Qualifications:

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
10+ years of experience in data architecture, data engineering, or enterprise data platform development.
5+ years of experience leading data engineering projects and delivering enterprise-scale data solutions.
Strong expertise in data modeling, data warehousing, ETL/ELT, and cloud-based data platforms.
Experience designing distributed, scalable, and high-performance data architectures.
Strong understanding of Agile development methodologies, CI/CD, and DevOps practices.
Excellent communication, stakeholder management, and leadership skills.

Preferred Technical Skills

Cloud & Data Platforms: AWS, Snowflake, S3, EMR, Glue, Redshift
Data Engineering: Spark, Kafka, Airflow, Talend, dbt, Python, SQL
Databases: SQL Server, PostgreSQL, Aurora, DynamoDB
Architecture: Data Lake/Lakehouse, Event-Driven Architecture, Microservices, REST APIs, Data Modeling
DevOps: Kubernetes, Docker, Git, CI/CD, Infrastructure as Code

Deliverables

Define and maintain enterprise data architecture, including conceptual, logical, and physical data models.
Design scalable cloud-based data platforms, data warehouses, and data lake solutions to support business intelligence, analytics, and AI initiatives.
Lead the design and implementation of data integration, ETL/ELT, streaming, and batch processing solutions.
Partner with business stakeholders, product managers, architects, and engineering teams to translate business requirements into scalable technical solutions.
Ensure data platforms are reliable, performant, secure, and highly available through monitoring, automation, and operational best practices.
Evaluate emerging technologies and recommend improvements to modernize the enterprise data ecosystem.
Collaborate with cross-functional teams to support AI/ML, advanced analytics, and enterprise reporting initiatives.

For applications and inquiries,

Please wait..!!

Millions Of Active Candidates

Data Architect