Senior Snowflake Data Architect (MDM)

FTSi.Tech; Memphis (TN); Vor Ort; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

FTSi.Tech is seeking a Senior Snowflake Data Architect in the United States to lead the MDM program and shape the enterprise data vision. You will translate complex business requirements into scalable Snowflake roadmaps, driving analytics and retail services across the organization.

You will architect data models, enforce security, and collaborate with BI, CRM, and cross-functional teams to implement robust data pipelines using Python and Tableau.

Qualifikationen

• 10+ years of hands-on experience in Snowflake or comparable cloud-based data platforms.
• Bachelor's degree in IT, CS, or related field.
• Expert-level understanding of data warehousing concepts, MDM lifecycle, and database design.
• Expert-level SQL and Python for building automated, scalable data pipelines.
• Advanced proficiency in Tableau to translate raw data into actionable insights.
• Deep familiarity with CRM data structures and extraction methodologies.
• Ability to resolve systemic, multi-layered technical challenges.
• Effective communication skills to align diverse stakeholders with the MDM strategy.

Aufgaben

• Lead the long-term evolution and maintenance of the Snowflake cloud platform to support enterprise-level MDM implementation.
• Design complex data schemas (Star/Snowflake) and master data domains that unify fragmented data from sources like Salesforce.
• Act as the primary technical bridge to BI, Retail Services, and cross-functional teams to elicit high-level business requirements.
• Convert enterprise goals into a prioritized backlog of technical tasks and architectural blueprints for the implementation team.
• Configure and manage enterprise-grade security, including RBAC and data masking within Snowflake.
• Implement and enforce security best practices to meet strict global compliance and data privacy requirements.
• Manage and optimize the Snowflake environment to ensure high-performance delivery for business intelligence initiatives.
• Oversee the integration of the complete data analytics stack, ensuring seamless flow between Snowflake, Python-based automation, and Tableau.
• Serve as the final escalation point for complex technical issues and data stack downtime.
• Guide and mentor junior to mid-level developers on data warehousing concepts and database design.

Kenntnisse

Snowflake

Data architecture

SQL

Python

Tableau

MDM

CRM data

RBAC

Security

Ausbildung

Bachelor's degree

Tools

Salesforce

Jobbeschreibung

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.

• Minimum 7+ years of hands-on experience in Snowflake or comparable cloud-based data platforms.
• Bachelor's degree in Information Technology, Computer Science, or a related field.
• Expert-level understanding of data warehousing concepts, MDM lifecycle, and database design.
• Expert-level SQL and Python for building automated, scalable data pipelines.
• Advanced proficiency in Tableau to translate raw data into actionable insights.
• Deep familiarity with CRM data structures and extraction methodologies.
• Ability to resolve systemic, multi-layered technical challenges.
• Effective communication skills to align diverse stakeholders with the MDM strategy.

Responsibilities:

• Lead the long-term evolution and maintenance of the Snowflake cloud platform to support enterprise-level MDM implementation.
• Design complex data schemas (Star/Snowflake) and master data domains that unify fragmented data from sources like Salesforce.
• Act as the primary technical bridge to BI, Retail Services, and cross-functional teams to elicit high-level business requirements.
• Convert enterprise goals into a prioritized backlog of technical tasks and architectural blueprints for the implementation team.
• Configure and manage enterprise-grade security, including advanced Role-Based Access Control (RBAC) and data masking within Snowflake.
• Implement and enforce security best practices to meet strict global compliance and data privacy requirements.
• Manage and optimize the Snowflake environment to ensure high-performance delivery for business intelligence initiatives.
• Oversee the integration of the complete data analytics stack, ensuring seamless flow between Snowflake, Python-based automation, and Tableau.
• Serve as the final escalation point for complex technical issues and data stack downtime.
• Guide and mentor junior to mid-level developers on data warehousing concepts and database design.