Cloud Data Engineer Jobs in Virginia

The program is an IDIQ contract for an AWS-based cloud hosting system. Currently, Peraton is supporting the Cloud Security, IoT, and AIML use cases for the environment in a hybrid work environment with Federal employees. Peraton also support the following applications as part of the environment: Dremio, Tableau, Globus, Posit/RStudio, Atlassian, ThingLogix, Alteryx and CloudCheckr.

Peraton's Department of the Interior (DOI), U.S. Fish and Wildlife Service (FWS), and NOAA's National Marine Fisheries Service (NMFS) have identified a critical gap in the federal government's ability to conduct comprehensive Endangered Species Act (ESA) research. While FWS operates an authoritative web-based platform for managing data for terrestrial and freshwater species, it does not currently include NMFS marine and anadromous species data forcing agencies to rely on separate, manual processes. This program closes that gap by integrating marine and anadromous species data into the existing FWS platform, creating a single, unified experience for all ESA-listed species.

Peraton is seeking a Senior Cloud Data Architect SME with expertise in Databricks and cloud data lakehouse architectures to lead the data engineering foundation for a federal data migration program. You will design and oversee the implementation of ETL pipelines, schema harmonization, and data quality frameworks within a FedRAMP-compliant hybrid AWS cloud environment.

Work Location: Remote

Roles and Responsibilities

• Lead the design and implementation of the cloud data lakehouse architecture for federal species data ingestion, ensuring compatibility with existing infrastructure and platform constraints
• Design the Delta Live Tables ETL pipeline architecture, defining pipeline topology, data flow patterns, transformation stages, and error-handling frameworks
• Lead schema harmonization activities, conducting gap analysis between source schemas and the target data model and producing field-level mapping documentation
• Define metadata standards for all ingested datasets including naming conventions, data types, null handling, and authoritative source attribution
• Design the Metadata and Authoritative Source Registry structure and population methodology
• Oversee ETL pipeline development and deployment, ensuring all pipelines are version-controlled and peer-reviewed
• Design data quality validation frameworks within ETL pipelines, defining completeness, accuracy, consistency, and spatial integrity quality criteria
• Produce the Data Model Harmonization Report, documenting gap analysis findings between source schemas and the target data model, field-level mapping decisions, and metadata standard definitions for government review and approval
• Lead the operational handoff of ETL pipeline architecture, producing documentation for routine data refresh, pipeline monitoring, and maintenance procedures
• Provide cloud data architecture guidance for FedRAMP-compliant production deployment

Basic Qualifications

• Bachelors degree and 12 years professional experience or a Masters degree and 10 years professional experience or an Associates degree and 14 years professional experience; or a high school diploma/equivalent and 16 years’ professional experience.
• U.S. Citizenship required; must have the ability to obtain and maintain a Public Trust clearance
• Extensive years of experience in cloud data architecture with expertise in Databricks and Delta Lake/Delta Live Tables
• Demonstrated experience designing data lakehouse architectures for large-scale data migration programs
• Experience with schema harmonization, ETL pipeline design, and data quality frameworks
• Strong knowledge of FedRAMP, FISMA, and federal cloud compliance requirements
• Experience with metadata management and authoritative source registry design

Preferred Qualifications

• Databricks Certified Data Engineer or equivalent certification
• AWS Certified Solutions Architect or AWS Certified Data Engineer certification
• Experience with federal environmental or geospatial data systems
• Familiarity with spatial data integration and GIS data pipelines
• Active Public Trust Clearance

Target Salary Range: $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.