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Lead Cloud Data Engineer

The Mutual Group
Posted a month ago, valid for 17 days
Location

Atlanta, GA 30334, US

Salary

$140,000 - $165,000 per year

Contract type

Full Time

Retirement Plan
Paid Time Off
Disability Insurance

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Sonic Summary

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  • The Mutual Group is seeking a Lead Cloud Data Engineer with 12+ years of experience in data engineering, including at least 3 years in a lead or architect-level role and 8+ years on cloud platforms such as AWS, Azure, or GCP.
  • This role involves designing and optimizing a next-generation Cloud Data Platform for unifying data across various business domains, leveraging technologies like Medallion architecture and modern data warehouses such as Snowflake or Redshift.
  • Responsibilities include defining the data engineering strategy, building high-performance ingestion pipelines, and ensuring data governance and quality standards are met.
  • The anticipated annual base salary for this position ranges from $140,000 to $165,000, depending on experience and qualifications.
  • Candidates should have strong hands-on technical expertise in cloud-native data engineering, automation, and architecture design, along with excellent leadership and collaboration skills.

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.

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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 applications.

  • Automate ingestion of structured, semi-structured, and unstructured data from APIs databases, and external data feeds.

  • Tune and monitor ingestion pipelines for throughput, cost control, and reliability across dev/test/prod environments.

Data Transformation & Modeling

  • Hands on Development of ETL/ELT pipelines using Databricks or similar frameworks to transform raw data into curated and consumption-ready datasets.

  • Design and develop relational, Vault, and dimensional data models to support analytics, BI, and AI/ML workloads.

  • Define and enforce data quality standards, validation frameworks, and enrichment rules to ensure trusted business data.

  • Apply data quality, cleansing, and enrichment logic to ensure accuracy and completeness of business-critical data.

Cloud Infrastructure, Automation and Performance

  • Collaborate with DevOps and Cloud Engineering teams to design automated, infrastructure-as-code environments using Terraform, CloudFormation, or equivalent tools.

  • Implement CI/CD pipelines for data pipeline deployment, versioning, and testing.

  • Lead performance tuning and scalability optimization to ensure highly available, cost-efficient data platform.

Governance, Security & Compliance

  • Implement and enforce data governance, cataloging, and lineage practices using tools such as Purview, Alation, or Collibra.

  • Partner with InfoSec to implement data privacy, access control, and compliance frameworks aligned with regulatory standards.

  • Drive consistency and accountability in data stewardship across business and IT teams.

Leadership, Collaboration & Mentorship

  • Lead a team of data engineers, providing technical guidance, coaching, and performance mentorship.

  • Collaborate with Data Architects, Analysts, and Business Leaders to align data solutions with enterprise strategy.

  • Promote a culture of engineering excellence, reusability, and knowledge sharing across data organization.

  • Influence enterprise-wide standards for data engineering, automation, and governance.

Qualifications:

  • Bachelor’s or master’s degree in computer science, Data Engineering, or a related field.

  • 12+ years of experience in data engineering with at 3+ years in a lead or architect-level role and least 8+ years on cloud platforms (AWS, Azure, or GCP).

  • Deep hands-on experience with Python, SQL, and data modeling (relational, and Dimensional), Databricks, Spark, AWS Glue, Delta Lake, Snowflake, Synapse, or Redshift

  • Proven experience with Medallion architecture, modern data warehousing principles., data governance, lineage, and CI/CD for data pipelines

  • Excellent leadership, communication, and cross-functional collaboration skills.

  • Experience in the Property & Casualty (P&C) Insurance domain such as Policy, Claims, or Billing data preferred.

  • Familiarity with event-driven architectures (Kafka, Kinesis) and real-time data streaming.

  • Knowledge of machine learning pipeline integration and feature engineering.

  • Proven ability to lead large-scale data modernization or cloud migration initiatives.

Pay Range:

Anticipated Hiring Range:

  • $140,000 - $165,000 annual base salary depending on experience, qualifications, and geographic location 

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Group is an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact Talent@themutualgroup.com.

Employment Verification

The Mutual Group participates in the E-Verify program and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected from employment discrimination based on your citizenship status and national origin.

E-Verify Program Overview

 

E-Verify Participation Poster

 

All offers of employment are contingent upon the successful completion of a background check.

#TMG




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