Data Platform Engineer (Senior)

Amatriot Group, LLC; Chantilly (VA); On-site; USD 135,000 - 150,000; Full time

Job summary

Amatriot Group, LLC in Chantilly, VA is seeking a Senior Data Platform Engineer to design and sustain data pipelines, relational databases, and enterprise data services. You will contribute to Kubernetes, IaC (Terraform), CI/CD (GitLab), and AWS-hosted data platform services while mentoring junior teammates.

The role emphasizes secure data practices, performance optimization, and cross-team collaboration across modern platforms and visualization tools.

Qualifications

• Minimum 8 years of relevant experience.
• 8+ years in data engineering, database design, or related fields.
• Experience with structured and semi-structured data and visualization technologies.
• Familiarity with high-performance computing and mixed-technology environments.
• Experience improving data workflows, performance, and security.

Responsibilities

• Develop data-processing workflows and analytics for desktop- and web-based visual analytic tools.
• Build and maintain secure data-ingestion pipelines using open-source, COTS, and GOTS technologies.
• Design and optimize enterprise relational databases and establish standards for operations and security.
• Integrate new data systems with existing data warehouses and improve performance and functionality.
• Support large-scale relational data analysis using visualization and high-performance computing.
• Contribute to system optimization, secure posture improvements, and cross-team technical standards.
• Support Kubernetes-based data platform environments.
• Develop and maintain Infrastructure as Code using Terraform.
• Support GitLab CI/CD pipelines for automated build, integration, and deployment.
• Manage software artifacts and dependencies using JFrog Artifactory.
• Support data platform services hosted within AWS cloud environments.
• Develop and support ETL workflows using Python, Cribl, and Apache NiFi.
• Support PostgreSQL database environments.
• Develop and maintain Apache Kafka-based data streaming and integration capabilities.
• Integrate Splunk and custom GOTS applications into enterprise data-processing workflows.
• Perform complex data parsing and streamlined ingestion.
• Support provenance and end-to-end data lineage tracking.
• Perform schema-aligned ingestion and normalization of diverse structured and unstructured data.
• Support user interface and application components using Vue.js, Flask, Elixir, Phoenix LiveView, and DaisyUI.
• Integrate application components with backend data-processing and platform services.
• Mentor junior team members.
• Contribute to data platform standards, engineering practices, and operational improvements.
• Support improvements to data workflows, platform performance, and security.

Skills

Strong analytical, collaboration

Mentor junior team members

Team communication

Leadership

Tools

Vue.js

Flask

Elixir

Phoenix LiveView

DaisyUI

Job description

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Location: Chantilly, VA
Security Clearance: Active TS or higher [Required]
Job Type: Full-Time
Target Salary Range*:$135,000 - $150,000

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

Position Overview

The Data Platform Engineer (Senior) supports advanced visual analytic applications by building and sustaining data pipelines, designing relational data platforms, and enabling high-performance analysis across structured and semi-structured data. This role helps streamline data processing, improve platform performance, strengthen secure data practices, and support scalable enterprise data services.

The position also supports modern platform engineering capabilities across Kubernetes, Infrastructure as Code, CI/CD, cloud services, user interface components, ETL technologies, streaming platforms, and enterprise data integration while contributing to cross-team standards and mentoring junior team members.

Key Responsibilities

• Develop data-processing workflows and analytics for desktop- and web-based visual analytic tools.
• Build and maintain secure data-ingestion pipelines using open-source, COTS, and GOTS technologies.
• Design and optimize enterprise relational databases and establish standards for operations and security.
• Integrate new data systems with existing data warehouses and improve performance and functionality.
• Support large-scale relational data analysis using visualization and high-performance computing.
• Contribute to system optimization, secure posture improvements, and cross-team technical standards.

Platform Automation and Infrastructure

• Support Kubernetes-based data platform environments.
• Develop and maintain Infrastructure as Code using Terraform.
• Support GitLab CI/CD pipelines for automated build, integration, and deployment.
• Manage software artifacts and dependencies using JFrog Artifactory.
• Support data platform services hosted within AWS cloud environments.

ETL and Data Integration

• Develop and support ETL workflows using Python, Cribl, and Apache NiFi.
• Support PostgreSQL database environments.
• Develop and maintain Apache Kafka-based data streaming and integration capabilities.
• Integrate Splunk and custom GOTS applications into enterprise data-processing workflows.
• Perform complex data parsing and streamlined ingestion.
• Support provenance and end-to-end data lineage tracking.
• Perform schema-aligned ingestion and normalization of diverse structured and unstructured data.

Application and User Interface Support

• Support user interface and application components using Vue.js, Flask, Elixir, Phoenix LiveView, and DaisyUI.
• Integrate application components with backend data-processing and platform services.

Technical Leadership

• Mentor junior team members.
• Contribute to data platform standards, engineering practices, and operational improvements.
• Support improvements to data workflows, platform performance, and security.

Experience

• Minimum 8 years of relevant experience. [Required]
• 8+ years of experience in data engineering, database design, or related fields. [Required]
• Experience working with structured and semi-structured data and visualization technologies. [Required]
• Familiarity with high-performance computing and mixed-technology environments. [Required]
• Experience improving data workflows, performance, and security. [Required]

Skills

• Strong analytical, communication, and collaboration skills. [Required]

Preferred Qualifications

• Experience supporting federal or secure, multi-enclave environments.
• Background with advanced visualization platforms or high-volume data processing.
• Knowledge of data modeling, data warehousing, and performance tuning.