Solution Architect
V
Via Logic LLCInformation Technology
United States, ESTFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- Minimum of 10+ years of relevant technical experience. Minimum 11 years of relevant experience in enterprise software architecture, analytics, machine learning, artificial intelligence or a similar role. 10+ years of relevant Solution Architect experience
- Required Skills
- AWSDockerPythonSQLArtificial IntelligenceGCPHadoopKubernetesMachine LearningMicrosoft Power BITableauAzureTerraformRedshiftRCloudFormation
Requirements
- Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Minimum 11 years of relevant experience in enterprise software architecture, analytics, machine learning, artificial intelligence or a similar role.
- Proven track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in a cloud native environment.
- 10+ years of relevant Solution Architect experience.
- Experience with DevSecOps methodology.
- Proficiency in programming languages: Python, R, SQL.
- Experience with AI, ML, NLP Frameworks, models, and tools.
- Experience with data visualization tools like Tableau, Power BI.
- Experience with Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and GCP.
- Proficiency in AWS (Primary cloud), Azure, and Google Cloud Platforms.
- Proven successful track record working in an agile environment.
- Government sector experience, especially with DHS (Strongly Preferred).
- Current holder of public trust clearance (Strongly Preferred).
- AWS Certification such as Certified Solutions Architect/DevOps Engineer (Strongly Preferred).
- Certified Kubernetes Administrator/Developer (Strongly Preferred).
- Terraform Certified Associate (Strongly Preferred).
Responsibilities
- Architect, build, and deploy pilots, prototypes, and proof-of-concept solutions to validate cloud-native innovations across AWS, Azure, and GCP.
- Develop automation, CI/CD pipelines, and infrastructure using IaC tools (e.g., Terraform, CloudFormation).
- Utilize containerization (Docker, Kubernetes) and serverless architectures.
- Ensure transparency, traceability, and security compliance, including Authorization To Operate certifications.
- Collaborate with data engineering, product, and business teams to translate needs into technical solutions.
- Design and implement predictive models, algorithms, and statistical analyses for complex business challenges.
- Build scalable, secure, and cost-effective infrastructure for model development, training, and deployment.
- Perform exploratory data analysis to derive actionable insights from large, complex datasets.
- Develop data management and governance plans.
- Create reusable code libraries, SOPs, and best practices for modernization and automation.
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