High-Level Data Architect for Advanced Mission Systems

2 weeks ago

Fort Belvoir, United States Iron EagleX Full time
Job Overview

We are seeking an experienced Data Engineer SME to lead data engineering initiatives for high-priority projects. This position requires extensive expertise in data architecture and system engineering, supporting sophisticated mission systems within dynamic environments. The role is located at Fort Belvoir, VA, and involves working directly on classified projects.

Key Responsibilities

The successful candidate will play a critical role in developing, implementing, and managing advanced data pipelines and architecture to support high-level government objectives. Key duties include:
  • Designing, developing, and implementing data pipelines and ETL processes using AWS and Azure native tools (e.g., Glue, SNS) to support secure and efficient data processing.
  • Applying proficiency in data flow and orchestration tools, including NiFi and Airflow, to ensure optimal pipeline performance.
  • Developing scalable microservices for data handling and transformation, suitable for high-volume data ingestion and processing.
  • Cultivating, cleansing, and securing data to support accurate and safe data transfers across multiple classification levels.
  • Developing solutions to support both batch and streaming data processing.
  • Integrating data pipelines with data lakes and warehouses, enhancing data accessibility and efficiency.
  • Collaborating with cross-functional teams to deliver mission-critical data requirements.
  • Ensuring adherence to data handling best practices and compliance with security requirements when working with classified datasets.

Requirements

To be considered for this role, candidates must possess the following qualifications:
  • A minimum of 10 years of experience in data engineering, including expertise with AWS and Azure data pipeline/ETL tools.
  • Advanced proficiency with AWS and Azure native tools, including Glue, SNS, and data orchestration platforms like Nifi and Airflow.
  • In-depth knowledge of microservices architecture and proficiency in data curation, cleansing, and security.
  • Hands-on experience with classified data management within the past 1-5 years, with comprehensive understanding of multi-level classification handling.
  • Strong knowledge of both batch and streaming data processing approaches.
  • Familiarity with data visualization techniques and integration of data pipelines with data lakes and data warehouses.

Benefits

This role offers a competitive salary, along with a range of benefits, including national health, vision, and dental plans, 20 days of PTO, and 11 paid holidays. Additionally, the company provides life insurance, short- and long-term disability plans, 401(K) retirement plans, incentive and recognition programs, relocation opportunities, and more.

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