Primary Skills

Snowflake, AWS, DBT, AI / GenAI, SQL, Python, Data Architecture, Data Governance

Job Summary

Lead the definition and implementation of enterprise data architecture using Snowflake, AWS, DBT, and AI technologies. Drive data strategy, governance, platform modernization, and AI adoption across the organization.

Key Responsibilities
- Define enterprise data architecture and target-state data platform strategy.
- Design scalable Snowflake, AWS, and DBT-based data ecosystems.
- Lead AI/GenAI initiatives including RAG and Vector DB solutions.
- Establish architecture standards, governance, security, and best practices.
- Drive cloud modernization, optimization, and cost management.
- Provide technical leadership across programs and mentor engineering teams.

Experience




- 12+ years of Data Engineering and Data Architecture experience.
- Deep expertise in Snowflake, AWS, and DBT at enterprise scale.
- Experience designing AI/GenAI-enabled data platforms.
- Strong background in architecture governance and enterprise transformations.

Preferred Certifications
- SnowPro Advanced Architect
- AWS Solutions Architect Skilled
- dbt Certified Developer
- Generative AI / AI Architect Certification
- TOGAF or Enterprise Architecture Certification

Focus Areas

Enterprise Data Architecture, Snowflake Strategy, Cloud Modernization, Data Governance & Security, AI/GenAI Architecture, Technical Leadership

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