Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Cloud Data Engineer (Snowflake) in the United States.

This role is designed for a hands-on technical leader responsible for designing, implementing, and maintaining cloud data solutions in a dynamic and fast-paced environment. The Senior Cloud Data Engineer will work closely with engineering, migration, and operations teams to build scalable, secure, and automated data pipelines and platforms, primarily leveraging Snowflake and AWS. The position involves both strategic input and practical execution, including process improvements, automation, and ensuring data integrity. The ideal candidate thrives in collaborative, innovative environments, enjoys tackling complex challenges, and is committed to delivering high-quality cloud solutions that support organizational objectives. This role offers exposure to cutting-edge cloud technologies, opportunities to implement AI/ML solutions, and a platform to influence technical strategy.

Accountabilities:

• Design, architect, deploy, and maintain cloud-based data solutions on AWS with Snowflake as a core platform
• Implement logical and physical data models and ETL/ELT pipelines to support enterprise-scale workloads
• Ensure security, integrity, and reliability of cloud systems while maintaining thorough documentation
• Support automation initiatives using scripting languages such as Python, Bash, and PowerShell
• Collaborate across teams to develop strategies, advise on infrastructure, and troubleshoot escalations
• Maintain knowledge of emerging cloud services, best practices, and industry standards
• Compose and maintain standard operating procedures, work instructions, and knowledge articles

Requirements:

• 5+ years of experience in cloud data engineering, with hands-on expertise in Snowflake and AWS
• Strong proficiency in ETL/ELT frameworks and SQL-based data transformation techniques
• Experience with Linux and Windows Server environments
• Excellent communication skills, including experience presenting technical information to diverse audiences
• Demonstrated ability to work independently and collaboratively in fast-paced, complex environments
• Preferred: 7+ years of experience with at least 3 years at a senior level, AI/ML solution implementation experience, familiarity with Agile/Scrum environments
• Preferred certification: Snowflake SnowPro Core

Benefits:

• Competitive base salary range: $128,039 – $173,229 USD, dependent on experience and location
• 401(k) with company match
• Comprehensive health, dental, and vision coverage, including telehealth options
• Paid vacation, personal time, holidays, and paid family leave
• Professional growth opportunities, including paid education and certifications
• Flexible work arrangements and remote work options
• Access to cutting-edge cloud technologies and collaborative team environment

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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