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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 :

JOB TITLE: DRC-DATA ARCHITECT 1(AR1)

JOB DURATION: 10+ MONTHS

JOB LOCATION: COLUMBUS, OH (REMOTE)

EXPERIENCE: 10+ YEARS

VISA: UCS/EAD/-EAD/H1B

The Data Architect is responsible for designing, implementing, and maintaining the organization's data architecture to ensure data integrity, scalability, and accessibility. This role defines how data is stored, consumed, integrated, and managed across systems, aligning with business objectives and technology standards. The architect will also leverage modern cloud data platforms, including Snowflake, to support advanced analytics and scalable data solutions.

Key Responsibilities

Data Architecture Design

  • Develop and maintain enterprise data models, schemas, and standards.
  • Define data flows and integration patterns between systems, including cloud-native platforms such as Snowflake.

Database Management

  • Oversee logical and physical database design for performance and scalability.
  • Collaborate with DBAs on optimization, capacity planning, and Snowflake performance management.

Data Governance

  • Establish data quality, security, and compliance standards.
  • Implement metadata management and maintain a data dictionary.

Integration & ETL

  • Design and optimize ETL/ELT processes for data warehousing and analytics, with hands-on experience using Snowflake's ingestion and transformation capabilities.
  • Ensure interoperability between on-prem and cloud systems.

Collaboration

  • Work with business analysts, developers, and stakeholders to translate requirements into data solutions.
  • Provide guidance on data modeling best practices.

Performance & Security

  • Ensure data architecture meets performance SLAs and security requirements.
  • Implement encryption, access controls, and audit mechanisms across both traditional DBMS and Snowflake environments.

Innovation

  • Evaluate emerging technologies (cloud, big data, AI/ML) for adoption.
  • Recommend improvements to existing data architecture, including Snowflake optimization and new cloud capabilities.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

93605-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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JOB TITLE: DRC-DATA ARCHITECT 1(AR1)

JOB DURATION: 10+ MONTHS

JOB LOCATION: COLUMBUS, OH (REMOTE)

EXPERIENCE: 10+ YEARS

VISA: UCS/EAD/-EAD/H1B

The Data Architect is responsible for designing, implementing, and maintaining the organization's data architecture to ensure data integrity, scalability, and accessibility. This role defines how data is stored, consumed, integrated, and managed across systems, aligning with business objectives and technology standards. The architect will also leverage modern cloud data platforms, including Snowflake, to support advanced analytics and scalable data solutions.

Key Responsibilities

Data Architecture Design

  • Develop and maintain enterprise data models, schemas, and standards.
  • Define data flows and integration patterns between systems, including cloud-native platforms such as Snowflake.

Database Management

  • Oversee logical and physical database design for performance and scalability.
  • Collaborate with DBAs on optimization, capacity planning, and Snowflake performance management.

Data Governance

  • Establish data quality, security, and compliance standards.
  • Implement metadata management and maintain a data dictionary.

Integration & ETL

  • Design and optimize ETL/ELT processes for data warehousing and analytics, with hands-on experience using Snowflake's ingestion and transformation capabilities.
  • Ensure interoperability between on-prem and cloud systems.

Collaboration

  • Work with business analysts, developers, and stakeholders to translate requirements into data solutions.
  • Provide guidance on data modeling best practices.

Performance & Security

  • Ensure data architecture meets performance SLAs and security requirements.
  • Implement encryption, access controls, and audit mechanisms across both traditional DBMS and Snowflake environments.

Innovation

  • Evaluate emerging technologies (cloud, big data, AI/ML) for adoption.
  • Recommend improvements to existing data architecture, including Snowflake optimization and new cloud capabilities.

For applications and inquiries,

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