Snowflake Data Engineer - Onsite

Role: Snowflake Data Engineer

Location: Baltimore, MD (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.

Required Skills & Qualifications

• 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.

Preferred Qualifications

• 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.