Solutions Architect, Data Engineer
Posted 2026-05-06
Remote, USA
Full-time
Immediate Start
- Job Description:
- Lead the design of the technical architecture for a cloud-based, AI enabled system
- Stand up AWS infrastructure including compute, storage, networking, IAM, and security controls
- Ensure alignment with government approved technologies and FedRAMP authorized services
- Conduct market analysis and provide cost, performance, and risk tradeoff assessments
- Build the initial email ingestion pipeline for structured/unstructured data
- Implement parsing, routing, and data transformation logic
- Create and configure the database/data store to support downstream analytics
- Define integration patterns for ingestion, APIs, and external systems
- Ensure data quality, reliability, and scalability in the ingestion workflow
- Evaluate AI/ML vendor tools for classification, extraction, and automation
- Recommend government approved AI technologies and integration approaches
- Support requirements validation and technical workshops
- Define field level extraction requirements in collaboration with analysts
- Provide LOE estimates and support Phase 1 implementation planning
- Identify risks, dependencies, and architectural constraints
- Requirements:
- 10+ years of experience in solution architecture or cloud/data engineering
- Handson experience with AWS (IAM, Lambda, S3, EC2, RDS, networking, security)
- Experience building ingestion pipelines for structured/unstructured data
- Experience implementing AI/ML solutions (NLP, LLMs, classification models)
- Strong understanding of performance tuning, cost optimization, and risk mitigation
- Experience evaluating government approved technologies and FedRAMP services
- Bachelor's degree in computer science, Engineering, or related field
- Demonstrated experience designing and implementing cloud-based systems on federal IT policies
- Benefits:
- Industry Competitive Compensation
- Medical and Dental Insurance
- Paid Time Off/Holidays
- 401(k) Retirement Plans with Matching
- Remote Work*
- Paid Training
- Employee Referral Program
- Employee Development Program