Lead Cloud Data Engineer
Company: The Mutual Group
Location: Atlanta, GA (Remote)
Type: Contract
Remote: Yes
Posted: 2026-05-25
About this role
Department
Information Technology
Job Description
We are building a next-generation Cloud Data Platform to unify data from Policy, Claims, Billing, and Administration systems into a single source of truth. As a Lead Cloud Data Engineer, you will play a key role in supporting The Mutual Group (TMG), GuideOne Insurance, and future members by designing, building, and optimizing our modern data ecosystem leveraging Medallion architecture, Delta Lake, and modern data warehouse technologies such as Snowflake, Synapse, or Redshift.
As a technical leader, the Lead Data Engineer will define and execute the end-to-end data engineering strategy from data ingestion and modeling to governance and performance optimization enabling scalable, high-quality, and analytics-ready data assets. This role requires hands on deep technical expertise in cloud-native data engineering, automation, and architecture design, coupled with strong leadership to mentor teams and align solutions with business goals.
Work Arrangement
- Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional in‑office days.
Responsibilities
Data Platform Design & Architecture
- Define the strategic roadmap for the enterprise data platform, ensuring scalability, performance, and interoperability across business domains.
- Architect and implement cloud-native, Medallion-based data architectures (Bronze–Silver–Gold layers) for unified and governed data delivery.
- Drive standardization of data models, pipelines, and quality frameworks across Policy, Claims, Billing, and Administrative data assets.
- Evaluate and implement emerging data technologies to strengthen the platform’s performance, cost efficiency, and resilience
Data Integration & Ingestion
- Design, build, and optimize high-performance ingestion pipelines, using AWS Glue, Databricks, or custom Spark application...