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Data Architect

  • Data Architect job type Posted on: Oct 11, 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: Senior Snowflake Data Architect (MDM) Job Summary We are seeking a Senior Snowflake Data Architect with 10 years of experience to serve as the strategic lead for our Master Data Management (MDM) team. You will be responsible for the end-to-end architectural vision, aligning Snowflake s capabilities with the enterprise-wide goal of creating a "single source of truth".

This role requires a high-level strategist capable of translating complex business requirements into scalable, secure, and actionable technical roadmaps that support analytics and retail services.

Strategic Architecture & Project Leadership:
  • Enterprise MDM Strategy & Design
  • Architectural Vision: Lead the long-term evolution and maintenance of the Snowflake cloud platform to support enterprise-level MDM implementation.
  • Conceptual to Physical Modeling: Design complex data schemas (Star/Snowflake) and master data domains that unify fragmented data from sources like Salesforce.
  • Requirement Transformation: Act as the primary technical bridge to BI, Retail Services, and cross-functional teams to elicit high-level business requirements.
  • Actionable Roadmapping: Convert enterprise goals into a prioritized backlog of technical tasks and architectural blueprints for the implementation team.
Governance, Security & Performance
  • Global Access Strategy: Configure and manage enterprise-grade security, including advanced Role-Based Access Control (RBAC) and data masking within Snowflake.
  • Compliance Framework: Implement and enforce security best practices to meet strict global compliance and data privacy requirements.
  • Optimization Oversight: Manage and optimize the Snowflake environment to ensure high-performance delivery for business intelligence initiatives.
Technical Integration & Mentorship
  • Ecosystem Alignment: Oversee the integration of the complete data analytics stack, ensuring seamless flow between Snowflake, Python-based automation, and Tableau.
  • Advanced Troubleshooting: Serve as the final escalation point for complex technical issues and data stack downtime.
  • Technical Leadership: Guide and mentor junior to mid-level developers on data warehousing concepts and database design.
Qualifications & Tech Stack Experience & Education
  • Experience: Minimum 7+ years of hands-on experience in Snowflake or comparable cloud-based data platforms.
  • Education: Bachelor s degree in Information Technology, Computer Science, or a related field.
  • Mastery: Expert-level understanding of data warehousing concepts, MDM lifecycle, and database design.
Technical Skills
  • Data Engineering: Expert-level SQL and Python for building automated, scalable data pipelines.
  • Visualization: Advanced proficiency in Tableau to translate raw data into actionable insights.
  • CRM Systems: Deep familiarity with data structures and extraction methodologies.
Soft Skills
  • Strategic Problem-Solving: Ability to resolve systemic, multi-layered technical challenges.
  • Collaborative Leadership: Effective communication skills to align diverse stakeholders with the MDM strategy.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 11, 2026

Reference Number:

106026-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Senior Snowflake Data Architect (MDM) Job Summary We are seeking a Senior Snowflake Data Architect with 10 years of experience to serve as the strategic lead for our Master Data Management (MDM) team. You will be responsible for the end-to-end architectural vision, aligning Snowflake s capabilities with the enterprise-wide goal of creating a "single source of truth".

This role requires a high-level strategist capable of translating complex business requirements into scalable, secure, and actionable technical roadmaps that support analytics and retail services.

Strategic Architecture & Project Leadership:
  • Enterprise MDM Strategy & Design
  • Architectural Vision: Lead the long-term evolution and maintenance of the Snowflake cloud platform to support enterprise-level MDM implementation.
  • Conceptual to Physical Modeling: Design complex data schemas (Star/Snowflake) and master data domains that unify fragmented data from sources like Salesforce.
  • Requirement Transformation: Act as the primary technical bridge to BI, Retail Services, and cross-functional teams to elicit high-level business requirements.
  • Actionable Roadmapping: Convert enterprise goals into a prioritized backlog of technical tasks and architectural blueprints for the implementation team.
Governance, Security & Performance
  • Global Access Strategy: Configure and manage enterprise-grade security, including advanced Role-Based Access Control (RBAC) and data masking within Snowflake.
  • Compliance Framework: Implement and enforce security best practices to meet strict global compliance and data privacy requirements.
  • Optimization Oversight: Manage and optimize the Snowflake environment to ensure high-performance delivery for business intelligence initiatives.
Technical Integration & Mentorship
  • Ecosystem Alignment: Oversee the integration of the complete data analytics stack, ensuring seamless flow between Snowflake, Python-based automation, and Tableau.
  • Advanced Troubleshooting: Serve as the final escalation point for complex technical issues and data stack downtime.
  • Technical Leadership: Guide and mentor junior to mid-level developers on data warehousing concepts and database design.
Qualifications & Tech Stack Experience & Education
  • Experience: Minimum 7+ years of hands-on experience in Snowflake or comparable cloud-based data platforms.
  • Education: Bachelor s degree in Information Technology, Computer Science, or a related field.
  • Mastery: Expert-level understanding of data warehousing concepts, MDM lifecycle, and database design.
Technical Skills
  • Data Engineering: Expert-level SQL and Python for building automated, scalable data pipelines.
  • Visualization: Advanced proficiency in Tableau to translate raw data into actionable insights.
  • CRM Systems: Deep familiarity with data structures and extraction methodologies.
Soft Skills
  • Strategic Problem-Solving: Ability to resolve systemic, multi-layered technical challenges.
  • Collaborative Leadership: Effective communication skills to align diverse stakeholders with the MDM strategy.

For applications and inquiries,

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