Snowflake Data Architect

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Job Summary

The Snowflake Data Architect will lead the architecture, design, and delivery of a Marketing Data Management platform built on Snowflake and AWS. The role will drive the creation of a trusted marketing data foundation that consolidates data from multiple marketing, CRM, ERP, and business platforms into a governed enterprise data platform. The position requires deep expertise in Snowflake architecture, cloud data engineering, data governance, SQL optimization, and large-scale enterprise data platforms.

Key Responsibilities

• Design and lead Snowflake architecture for the Marketing Data Management platform.

• Develop enterprise data models, ingestion frameworks, and data governance standards.

• Architect data pipelines integrating data from Google Analytics (GA4), Google Ads, Salesforce, SAP, JD Edwards, marketing platforms, and agency data feeds.

• Design Snowflake security, role-based access control (RBAC), data masking, and governance controls.

• Guide implementation of raw, curated, and presentation data layers.

• Establish metadata, data lineage, and data quality standards.

• Review and optimize SQL performance across Snowflake workloads.

• Work closely with business stakeholders, marketing teams, and executive leadership.

• Mentor engineering resources and provide technical leadership.

Required Qualifications

• 15+ years of experience in Data Architecture, Data Warehousing, and Analytics.

• 5+ years of hands-on Snowflake architecture experience.

• Extensive SQL expertise.

• Strong AWS cloud architecture experience.

• Experience designing enterprise-scale data platforms.

• Strong experience with Snowflake Data Cloud.

• Advanced SQL and data modeling skills.

• Experience with data warehousing and ETL/ELT design.

• Experience with data governance and data quality frameworks.

• Experience with Snowflake security and RBAC.

• Experience with data platform performance optimization.

• Experience working in Agile delivery environments.

Preferred Qualifications

• Marketing analytics experience.

• Experience with Google Analytics (GA4).

• Experience with Google Ads.

• Experience with Salesforce CRM.

• Experience with Power BI.

• Experience with dbt.

• Knowledge of marketing attribution and campaign measurement.

• Experience supporting executive dashboards and KPI reporting.

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