Why This Role Stands Out
This role offers a fantastic opportunity to architect the future of Master Data Management using Snowflake, driving enterprise-wide data strategy and innovation. If you are a visionary data leader with a passion for building scalable, secure, and high-performance data solutions, this position is perfect for you. Take the lead in shaping critical data infrastructure and make a significant impact on business intelligence and retail services.
Quick Overview
Job Description
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.
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