Senior Data Engineer — Snowflake Data Platform Leader

Sedgwick; Tennessee; On-site; USD 140,000 - 180,000; Full time

Job summary

Sedgwick seeks a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-prem and cloud environments. The role emphasizes Snowflake platform expertise, data modeling, and performance tuning to support AI-driven insights.

The ideal candidate will lead transformations, develop semantic layers for AI applications, and foster CI/CD practices while mentoring a junior data engineer and collaborating with cross-functional teams in a data-driven organization.

Qualifications

• Five (5)+ years of dedicated data engineering experience, with a proven record of building production-grade data pipelines.
• Advanced hands-on experience with Snowflake architecture, performance tuning, and data sharing.
• Experience moving data across hybrid environments (on-prem to cloud) using batch, streaming, and event-driven patterns.
• Experience building or maintaining semantic layers and structuring data for downstream AI, LLM, or natural-language search capabilities preferred.

Responsibilities

• Designs, builds, and maintains scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-premises and cloud sources.
• Core developer for the Snowflake data platform and supports platform performance, data modeling, and storage structures.
• Architects and builds transformation pipelines that deliver high-quality data inputs to Snowflake and dbt AI features.
• Designs and maintains semantic layers and metadata models required to support Self-Service 2.0 natural-language user interfaces.
• Establishes reference architectures, reusable templates, and CI/CD best practices that enable decentralized line-of-business teams to build data products safely and consistently.
• Provides direct management and career mentorship to one data engineer, with potential for team growth, and guides decentralized data analysts in maturing their engineering practices.
• Drives adoption of dbt for data transformation and evaluates the integration of AWS and Azure cloud data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, to optimize data flow.

Skills

Python

SQL

Leadership

Problem-solving

Communication

Education

Bachelor’s degree in CS/IS/Data Eng

Equivalent combination of education and experience

Tools

Snowflake

dbt

Azure Functions

Azure Data Factory

Stream Analytics

AWS data tools

Job description

Sedgwick seeks a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-prem and cloud environments. The role emphasizes Snowflake platform expertise, data modeling, and performance tuning to support AI-driven insights.

The ideal candidate will lead transformations, develop semantic layers for AI applications, and foster CI/CD practices while mentoring a junior data engineer and collaborating with cross-functional teams in a data-driven organization.