Data Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $112k - $179k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Peraton

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Peraton is a mission-focused enterprise that supports national security initiatives through advanced IT and cyber services. They provide capabilities in areas such as cyber defense, cloud operations, engineering, and intelligence. With a commitment to solving complex challenges, Peraton integrates data-driven technologies to ensure mission success for their military and government clients.

📋 Description

• Lead the design and implementation of modern data architectures, including data models, pipelines, and integration layers • Assess legacy systems, including data structures, data quality, storage mechanisms, and transformation logic • Define strategies for data migration, cleansing, normalization, and reconciliation between legacy and modernized systems • Establish data standards, naming conventions, and governance practices • Build and maintain scalable data pipelines for data ingestion, transformation, and distribution • Implement ETL/ELT solutions using modern data engineering tools and cloud services • Design APIs, streaming processes, and batch ingestion workflows for system integration • Ensure pipelines meet reliability, performance, and security best practices • Analyze legacy and modern data sets to identify inconsistencies, gaps, and transformation requirements • Translate business needs into data requirements with business analysts and application teams • Create dashboards, reports, and analytic outputs • Provide data-analysis insights and recommendations to stakeholders • Collaborate with architects, developers, business analysts, and security teams • Mentor junior and mid-level data engineers and analysts • Participate in Agile ceremonies and modernization planning and prioritization • Communicate data-related risks, issues, and progress to project leadership • Implement data validation, quality checks, and monitoring processes • Ensure compliance with organizational, industry, and regulatory data security standards • Support metadata management, data lineage, and data cataloging efforts

🎯 Requirements

• 5 years with BS/BA; 3 years with MS/MA; 0 years with PhD; 9 years of experience with HS Diploma • Must be a Citizen • Must have active Public Trust • Experience in data engineering, data analytics, or related roles • Expert-level proficiency with SQL • Experience working with relational and NoSQL databases • Strong experience building ETL/ELT pipelines and distributed data processing workflows • Hands-on experience with at least one modern data engineering stack • Proficiency with cloud platforms such as AWS, Azure, or OCI • Strong understanding of API-driven integration, data streaming, and event-driven architectures • Experience migrating data from legacy systems into modern architectures • Ability to design robust data models supporting transactional, analytical, or hybrid workloads • Excellent analytical, problem-solving, and communication skills • Preferred: experience supporting application modernization or digital transformation initiatives • Preferred: familiarity with microservices-based architectures and service-oriented data flows • Preferred: experience with CI/CD pipelines and DevOps tooling for data workflows • Preferred: knowledge of data governance frameworks and tools such as Collibra and Purview • Preferred: experience with BI tools such as Power BI and Tableau • Preferred: understanding of security best practices, encryption, identity/access management, and regulatory compliance requirements

🏖️ Benefits

• Potential eligibility for overtime • Shift differential may be available • Discretionary bonus may be available • Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law