Senior Data Engineer – AWS & Snowflake Platform Owner (No C2C - Fully Remote)
Quick Overview
Job Description
Role: Senior Data Engineer - AWS Data Platform Owner
Client: TriCom
Location: Remote (USA)
About the Opportunity
Our client is launching a next-generation insurance platform and is seeking a highly skilled Senior Data Engineer to assume technical ownership of its modern cloud data ecosystem. This individual will play a critical role in transitioning the platform from a consulting-built solution to an internally managed, scalable, and governed enterprise data platform.
The ideal candidate is a hands-on engineering leader with deep expertise in AWS, Snowflake, and dbt who can drive architecture decisions, establish engineering standards, and ensure reliable delivery of business-critical data assets.
Key Responsibilities
• Own and maintain the end-to-end cloud data platform, including AWS data services, Snowflake, and dbt.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting enterprise analytics and reporting.
• Establish and enforce data governance, security, access controls, data masking, and compliance standards.
• Define and maintain enterprise data models, ensuring consistency, quality, and scalability across the organization.
• Design and support semantic data layers that enable self-service analytics and business intelligence reporting.
• Monitor, troubleshoot, and optimize platform performance, reliability, and cost efficiency.
• Drive architectural best practices, coding standards, and operational excellence across the data engineering function.
• Mentor junior engineers and help build internal capabilities as the organization transitions platform ownership from external consultants.
Required Qualifications
• 7+ years of hands-on Data Engineering experience in cloud-based environments.
• Strong expertise with AWS data services such as Glue, Lambda, S3, IAM, EventBridge, and related technologies.
• Extensive experience designing and managing Snowflake data warehouse solutions.
• Strong experience with dbt for data transformation, testing, and documentation.
• Proven experience building scalable ETL/ELT pipelines and modern data architectures.
• Deep understanding of data modeling, data warehousing concepts, and semantic layer design.
• Experience implementing data governance, security, and compliance controls.
• Strong problem-solving skills and the ability to operate as a technical owner of a critical platform.
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