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Role: Snowflake Data Engineer
Location: San Jose CA (Onsite 5 Day week)
Duration: Long Term
Job Summary
We are seeking a highly skilled and strategic Snowflake & Cloud Data Engineer with deep expertise in enterprise data architecture, cloud-native data platforms, and AI-enabled data ecosystems. The ideal candidate will have strong experience in designing scalable and governed data solutions using Snowflake, including Snowflake Cortex AI, while driving large-scale cloud transformation initiatives.
This role requires hands-on technical expertise, architecture leadership, and the ability to accelerate modernization programs using AI-driven automation for development, migration, and data quality processes.
Key Responsibilities
Role: Snowflake Data Engineer
Location: San Jose CA (Onsite 5 Day week)
Duration: Long Term
Job Summary
We are seeking a highly skilled and strategic Snowflake & Cloud Data Engineer with deep expertise in enterprise data architecture, cloud-native data platforms, and AI-enabled data ecosystems. The ideal candidate will have strong experience in designing scalable and governed data solutions using Snowflake, including Snowflake Cortex AI, while driving large-scale cloud transformation initiatives.
This role requires hands-on technical expertise, architecture leadership, and the ability to accelerate modernization programs using AI-driven automation for development, migration, and data quality processes.
Key Responsibilities
- Design and implement enterprise-scale cloud data platforms using Snowflake.
- Architect scalable, secure, and high-performance data ecosystems across AWS, Azure, and Google Cloud Platform.
- Lead on-premise to cloud migration initiatives for enterprise data warehouses and analytics platforms.
- Develop and optimize enterprise data models, ELT/ETL frameworks, and data pipelines.
- Leverage Snowflake Cortex AI and AI-enabled architectures to support advanced analytics and intelligent automation.
- Implement AI accelerators to automate development, migration, testing, and data quality validation processes.
- Establish data governance, security, metadata management, and compliance standards.
- Collaborate with business stakeholders, engineering teams, and leadership to define data strategy and roadmap.
- Optimize Snowflake performance, scalability, and cost efficiency.
- Support modern analytics, AI/ML, and real-time data processing initiatives.
- Provide technical leadership, mentorship, and architectural guidance to engineering teams.
- 8 years of experience in Data Engineering, Data Architecture, or Cloud Data Platform development.
- Strong expertise in Snowflake architecture, administration, and optimization.
- Hands-on experience with Snowflake Cortex AI and AI-enabled data solutions.
- Deep understanding of enterprise data modeling and data warehousing concepts.
- Experience with cloud platforms including AWS, Azure, and/or Google Cloud Platform.
- Strong experience in ETL/ELT tools, SQL, Python, and data pipeline development.
- Expertise in cloud migration strategies and modernization programs.
- Experience implementing data governance, security, and compliance frameworks.
- Strong understanding of AI accelerators, automation frameworks, and modern data engineering practices.
- Excellent problem-solving, communication, and stakeholder management skills.
- Snowflake certifications preferred.
- Experience with AI/ML integration and modern analytics platforms.
- Exposure to DevOps/DataOps/MLOps practices.
- Experience working in enterprise-scale transformation programs.
- Familiarity with real-time streaming and event-driven architectures.