Description

Lead the end-to-end architecture, design, and implementation of the Customer Data Platform (CDP) on Snowflake. Define data flow from ingestion and transformation to activation and consumption. Own data models, marts, and analytical layers for 360° customer views and segmentation.

Responsibilities

• Integrate data from CRM, marketing, sales, web analytics, and product telemetry sources.
• Define data governance, security, and privacy frameworks ensuring GDPR and CCPA compliance.
• Mentor data engineering teams on Snowflake performance, cost optimization, and CI/CD automation.
• Evaluate and recommend modern data tools for ETL/ELT, orchestration, and data activation.
• Communicate architecture decisions to technical and non-technical stakeholders.

Required Skills

• 12+ years of experience in data engineering and architecture.
• At least 4 years focused specifically on Snowflake.
• Proven track record of designing and implementing Customer Data Platforms (CDPs) or large-scale analytical ecosystems.
• Strong expertise in Snowflake architecture including Virtual Warehouses, Secure Data Sharing, Streams, Tasks, and Time Travel.
• Experience with ELT frameworks such as DBT.
• Hands-on experience with data ingestion tools like SnapLogic, Matillion, or Workato.
• Familiarity with orchestration tools such as Airflow or Dagster.
• Experience integrating marketing, CRM, and digital analytics data sources.
• Solid understanding of data governance, MDM, and metadata management.

Preferred Skills

• Exposure to AI/ML or real-time data activation within a CDP.
• Experience in client-facing consulting environments.

Key Skills

Education

Bachelor's degree