Cloud Developer – Senior

Fathom Management LLC•Clarksburg, WV

1d•$150,000 - $150,000•Hybrid

About The Position

Fathom Management is seeking a Senior Cloud Developer to support the FBI CJIS Division's Data Mesh architecture. This role will design, implement, and maintain secure, scalable cloud infrastructure supporting enterprise data management, data products, ETL pipelines, automation, data governance, and self-service analytics. The Senior Cloud Developer will work closely with Product Owners, Product Managers, data domain teams, and technical stakeholders within a SAFe Agile environment. The role combines AWS cloud development, data engineering, DevOps, Infrastructure as Code, cloud security, monitoring, and Data Mesh implementation. The primary work location is remote. Contractors must be available to report to the FBI CJIS facility in Clarksburg, WV for equipment pickup and in-person meetings as required.

Requirements

7+ years of AWS cloud development experience, with a focus on data engineering and DevOps.
Strong hands-on experience with AWS data services, including: S3, Redshift, Glue, Lake Formation, Lambda
Experience developing scalable ETL pipelines and cloud-based data infrastructure.
Proficiency with Data Mesh architecture and decentralized data management principles.
Strong understanding of data governance, including: Data privacy, Access controls, Data lineage, Metadata management, Data governance tooling
Advanced scripting/programming experience using Python, Shell, Java, or similar technologies.
Experience with Infrastructure as Code tools such as Ansible, Packer, and AWS CloudFormation.
Experience developing and maintaining CI/CD pipelines using Bamboo, Jenkins, or similar technologies.
Strong experience with monitoring and logging tools such as AWS CloudWatch, CloudTrail, Splunk, Prometheus, and/or Grafana.
Strong understanding of cloud security, including: VPC configuration, Data encryption, Multi-factor authentication, AWS Security Hub
Experience working in a SAFe Agile environment, including Scrum, Kanban, Jira, and Confluence.
Ability to provide technical and non-technical training related to Data Mesh, governance, and analytics tools.
Excellent collaboration and communication skills.
U.S. Citizenship.
Active Secret clearance or above.
Ability to work remotely and report to the FBI CJIS facility in Clarksburg, WV when required.

Nice To Haves

Experience with containerization technologies such as: Docker, Kubernetes, Amazon ECS
Experience developing or supporting RESTful APIs for data integration and interoperability.
Experience supporting enterprise Data Mesh implementations.
Experience with data governance and self-service analytics environments.
Experience in Federal Government or other regulated environments.

Responsibilities

Participate in SAFe Agile ceremonies, including Program Increment Planning, Sprint Planning, Daily Standups, Sprint Reviews, and Retrospectives.
Collaborate with Product Owners, Product Managers, and data domain teams to refine and prioritize product backlogs.
Design and deploy domain-specific data products.
Develop and maintain scalable ETL pipelines using AWS services including S3, Redshift, Glue, Lake Formation, and Lambda.
Implement and maintain Infrastructure as Code using Ansible, Packer, AWS CloudFormation, and related technologies.
Build and maintain CI/CD pipelines using Bamboo, Jenkins, or similar tools.
Monitor cloud and data infrastructure using CloudWatch, CloudTrail, Splunk, Prometheus, Grafana, and related technologies.
Troubleshoot performance issues and anomalies across cloud and data infrastructure.
Implement cloud security best practices, including network security, encryption, MFA, and AWS Security Hub integration.
Maintain data catalogs supporting discoverability, lineage, and usage transparency.
Support the operation, maintenance, and reliability of Data Mesh software.
Help ensure high availability of Data Mesh infrastructure and services.
Lead training initiatives for data stewards and users covering Data Mesh principles, governance, and self-service analytics.
Document work in Jira and Confluence, including Epics, Features, and User Stories.
Maintain detailed backlogs and provide transparent progress tracking.
Support enforcement of data governance standards involving privacy, access controls, lineage, and metadata.
Collaborate with cross-functional data domain teams and stakeholders to support enterprise data objectives.