Primary Skills

Snowflake, AWS, DBT, SQL, Python, AI / GenAI

Job Summary

Lead the design, development, and optimization of scalable cloud data solutions using Snowflake, AWS, and DBT. Drive data architecture decisions, implement AI-enabled data products, mentor engineers, and collaborate with business stakeholders to deliver enterprise-grade data platforms.

Key Responsibilities

- Design and build scalable ELT pipelines using Snowflake and DBT.
- Develop cloud-native data solutions on AWS (S3, Glue, Lambda, etc.).
- Implement performance optimization, cost management, and data governance practices.
- Build AI/GenAI-ready data platforms, including support for Vector DB and RAG use cases.
- Lead technical design reviews and mentor junior team members.




- Collaborate with business and architecture teams to deliver end-to-end data solutions.

Experience

- 8-12 years in Data Engineering.
- Robust hands-on expertise in Snowflake, AWS, and DBT.
- Experience delivering AI/ML or GenAI-enabled data solutions.
- Proven experience leading technical initiatives and mentoring teams.

Preferred Certifications

- SnowPro Advanced
- AWS Certified Data Engineer / Solutions Architect
- dbt Certified Developer
- Generative AI or Cloud AI Certification

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