Senior Snowflake Data Architect (MDM)

CirrusLabs

  • Memphis, TN
  • 8 days ago

    Highlights

    Technical Integration & Mentorship Ecosystem Alignment: Oversee the integration of the complete data analytics stack, ensuring seamless flow between Snowflake, Python-based automation, and Tableau. 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.

    Numbers & Facts

    LocationMemphis, TN

    Description

    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 toensure 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.

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