What are the responsibilities and job description for the Senior AWS Solutions Architect position at Iron EagleX?
Overview
Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.
Responsibilities
Job Description:
The Senior AWS Solutions Architect will design, implement, and optimize AWS-based data solutions for IT modernization projects. This role demands extensive expertise in AWS services, architecture best practices, and implementing secure, scalable, and high-performance data ecosystems. The ideal candidate will have significant experience in data migration, advanced analytics, and machine learning within AWS environments. This position is on-site at Ft. Belvoir.
- Architect, design, and manage data pipelines and storage solutions exclusively on AWS.
- Develop and implement serverless architectures using AWS Lambda, Glue, and API Gateway.
- Design enterprise-scale data lakes and lakehouse solutions using AWS S3, Lake Formation, and Redshift.
- Build and maintain machine learning workflows using AWS SageMaker, AI/ML toolkits, and Python.
- Optimize real-time data streaming and processing with AWS Kinesis, MSK (Managed Streaming for Apache Kafka), and DynamoDB Streams.
- Implement data orchestration using AWS Step Functions, Glue Workflows, and EventBridge.
- Manage infrastructure as code using AWS CloudFormation, CDK, or Terraform with a focus on automation and scalability.
- Enforce security best practices, including IAM roles, AWS KMS encryption, Secrets Manager, and fine-grained data access controls.
- Lead cloud migration strategies for on-premises data systems to AWS, including rehosting, re-platforming, and refactoring.
- Conduct performance monitoring and cost optimization for AWS workloads using CloudWatch, Cost Explorer, and Trusted Advisor.
Job Duties Include (but are not limited to):
- Develop end-to-end AWS-native data pipelines for ingestion, transformation, and analytics.
- Implement high-availability architectures using AWS Auto Scaling, Elastic Load Balancing, and multi-AZ deployments.
- Manage large-scale data processing workloads using AWS EMR, Glue, and Athena.
- Set up and maintain AWS security and compliance standards, including VPC design, NACLs, and GuardDuty monitoring.
- Create scalable data solutions for structured and unstructured data using Amazon Redshift, DynamoDB, and S3.
- Perform ETL/ELT operations with AWS Glue, Step Functions, and AWS Data Pipeline.
- Build and monitor real-time analytics solutions using AWS Kinesis, Elasticsearch Service, and QuickSight.
- Deploy and monitor machine learning models on SageMaker with secure integration into other AWS services.
Qualifications
Required Skills & Experience:
- Extensive experience with AWS services, including Glue, Redshift, Lambda, S3, EMR, Athena, SageMaker, and CloudFormation.
- Deep expertise in AWS security best practices, including IAM policies, encryption with KMS, and Shield.
- Proficiency in programming languages such as Python, Scala, and Java for AWS-based solutions.
- Hands-on experience with real-time streaming using AWS Kinesis and MSK.
- Strong understanding of serverless technologies, including AWS Lambda and Step Functions.
- Proven ability to architect cloud-native solutions using AWS for large-scale data processing and analytics.
- Familiarity with AWS monitoring and management tools, such as CloudWatch, CloudTrail, and AWS Config.
- Due to US Government Contract Requirements, only US Citizens are eligible for this role.
Desired Skills:
- AWS Certified Solutions Architect – Professional certification.
- AWS Certified Machine Learning – Specialty certification.
- Experience with hybrid cloud architectures and AWS Outposts.
- Knowledge of advanced AWS services, such as Elastic Inference, AppFlow, and Lake Formation.
- Familiarity with AWS networking (Direct Connect, Transit Gateway, VPC Peering).
Education & Certifications:
- Bachelor’s degree in a relevant field or equivalent professional experience.
Security Clearance:
- An active TS/SCI clearance required.
Benefits:
- National health, vision, and dental plans
- 20 days of PTO and 11 paid holidays
- Life Insurance
- Short- and long-term disability plans
- 401(K) retirement plan
- Incentive and recognition programs
- Relocation opportunities
Iron EagleX is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
