Description

Design and implement scalable data solutions for Marketing, Sales, and Customer Service domains.

Responsibilities

• Architect data solutions using DBT, Snowflake, and Azure for business intelligence and advanced analytics.
• Design and optimize data pipelines integrating 1st party, 3rd party, and operational data sources.
• Develop data models enabling personalized customer experiences and omnichannel engagement.
• Implement and maintain Snowflake data warehousing solutions for large-scale processing.
• Manage data governance, quality, and security in compliance with GDPR and CCPA regulations.

Required Skills

• 7+ years of experience in Data Architecture or Data Engineering.
• Expertise with Snowflake and DBT for data warehousing and transformation.
• Hands-on experience with Python for data engineering and scripting.
• Proficiency with Azure cloud infrastructure and data storage.
• Strong foundation in Big Data technologies and modern data architecture frameworks.
• Deep understanding of ETL/ELT processes and data modeling.
• Experience designing architectures for Customer 360, CDP, or MDM.
• Bachelor's degree in Computer Science, Data Engineering, or a related field.

Preferred Skills

• Master's degree in a technical field.
• Experience working with AI/ML models for customer analytics and personalization.

Key Skills

Education

Any Graduate