Senior Data Engineer: Snowflake & Data Platform Architect

Sedgwick; Hawaii; On-site; USD 120,000 - 160,000; Full time

Job summary

Sedgwick is seeking a senior data engineer to design, build, and operate scalable data pipelines across on‑prem and cloud sources. You will be the core developer for Snowflake-based data platforms, shaping data models and semantic layers to support AI features and self-service analytics.

You will mentor one data engineer, promote best practices, and collaborate with cross‑functional teams to enable safe, scalable data products using dbt, Azure data tools, and CI/CD pipelines.

Qualifications

• Bachelor's degree in computer science, information systems, data engineering, or a related field preferred.
• Equivalent combination of education, professional certifications, and relevant work experience will be considered.
• 5+ years of dedicated data engineering experience, with a proven record of building production-grade data pipelines.

Responsibilities

• Designs, builds, and maintains scalable data pipelines supporting batch, real-time streaming, and event-driven data movement.
• Serves as a core developer for the Snowflake data platform and supports platform performance, data modeling, and storage structures.
• Architects and builds transformation pipelines delivering high-quality data inputs to Snowflake and dbt AI features.
• Maintains semantic layers and metadata models to support Self-Service 2.0 interfaces.
• Establishes reference architectures, reusable templates, and CI/CD best practices for decentralized data teams.
• Provides direct management and mentorship to one data engineer, guiding analysts in engineering practices.
• Drives dbt adoption and evaluates AWS/Azure tools to optimize data flow.

Skills

Snowflake architecture

Batch processing

Real-time streaming

Event-driven pipelines

Python

SQL

dbt

Azure Functions

Cloud data tools

Education

Bachelor's degree in CS/IS/Data Eng

Tools

Azure Data Factory

Azure Functions

Stream Analytics

dbt

Snowflake

Job description

Sedgwick is seeking a senior data engineer to design, build, and operate scalable data pipelines across on‑prem and cloud sources. You will be the core developer for Snowflake-based data platforms, shaping data models and semantic layers to support AI features and self-service analytics.

You will mentor one data engineer, promote best practices, and collaborate with cross‑functional teams to enable safe, scalable data products using dbt, Azure data tools, and CI/CD pipelines.