Cloud Solutions Architect

COGENT DATA SOLUTIONS LLC; Austin (TX); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Cogent Data Solutions LLC is seeking a Cloud Solutions Architect in Austin, TX. The role combines designing scalable cloud architectures with hands-on implementation across AWS, Azure, and GCP in a hybrid work model.

You will drive cloud-native initiatives and ensure governance, security, and performance across complex data systems. The ideal candidate has 8+ years of experience in cloud architecture, strong IaC skills with Terraform, Ansible, and Kubernetes, and a proven ability to lead

Qualifications

• 8+ years of experience in cloud solutions architecture.
• Strong knowledge of cloud platforms (AWS, Azure, GCP).
• Proven experience with PaaS, SaaS and IaaS models.

Responsibilities

• Design and implement cloud solutions for enterprise environments.
• Lead cloud adoption, migration, and modernization efforts.
• Ensure security, governance, and compliance in cloud deployments.
• Create architecture diagrams and documentation using Visio or equivalent.
• Collaborate with cross-functional teams to align IT strategy with business goals.
• Implement CI/CD pipelines and automation using IaC tools.

Skills

Cloud architecture

AWS

Azure

GCP

Kubernetes

CI/CD

Terraform

Ansible

Docker

Security & compliance

Data governance

DevOps

Python

Networking

Tools

Kubernetes

Terraform

Ansible

Docker

CloudFormation

ARM templates

Job description

Cogent Data Solutions LLC is hiring for a Cloud Solutions Architect position with one of our direct clients.

Check out the details listed below. I look forward to hearing back from you. Have a great day!

Job Title: Cloud Solutions Architect

Experience: 8+ years

Client Name: Texas Health and Human Services Commission

Job Location: Austin, TX. (Hybrid)

Job ID: 529701772

Position will be 3 days remote with 2 days (Thurs & Fri) onsite.

Required to be local to Texas

Key Responsibilities:

• Knowledge, Experience and understanding of the limitations and capabilities of computer systems, information technology equipment, applicable programming languages, computer hardware and software, and computer operating systems.
• Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers
• Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS
• Knowledge, Experience and understanding of agile (scrum) methodology and scrum ceremonies.
• Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or GCP
• Knowledge, Experience and understanding of cloud-based network design principles
• Strong knowledge in data governance, security, and compliance in cloud environments
• Strong technical writing and diagraming skills, including proficiency with modeling and mapping tools (e.g., Visio), the Microsoft Office Suite (Word, Excel, and PowerPoint) and MS Project
• Strong analytical and problem-solving skills with experience as a technology architect for software development, data analytics, performance management system, or data warehousing project
• Skill analyzing technology systems capabilities, limitations, defects, and business problems to draw evidence-based conclusions and devise innovative solutions
• Experience and understanding of cloud computing DevOps principles Continuous Integration/Continuous Design (CI/CD). Experience with Containerization, deploying and configuring microservices. Kubernetes architecture deployment, scaling, and maintenance
• Support application Kubernetes cluster and serverless infrastructure, help address any associated API’s pertaining to cloud infrastructure services and integrations
• Work on cloud automation using Ansible, Terraform, AWS cloud formation and Azure Resource Manager (ARM) templates
• Experience and understanding with cloud and performance monitoring, auditing logging, and operations tools such as: Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS CloudWatch, GCP Cloud Operations, Azure Monitor, OCI Monitoring, etc.).
• Proficient automation skillset using a combination of command language scripting (Bash, Korn, PowerShell, Cloud CLI, Kubernetes Helm) and third-party tools
• Knowledge, Experience and understanding with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC).
• Ability to work under pressure and successfully manage multiple overlapping deadlines, and able to handle multiple cross-agency projects
• Ability to coordinate multiple assignments/projects, set priorities, and meet deadlines
• Ability to lead and provide direction to team members
• Ability to lead the creation of best practices and procedures
• 8 years+ Knowledge, Experience and understanding of the limitations and capabilities of computer systems, information technology equipment, applicable programming languages, computer hardware and software, and computer operating systems.
• 8 years+ Knowledge, Experience and understanding of new cloud technologies and the analytical services available from the major cloud services providers
• 8 years+ Knowledge, Experience and understanding of cloud delivery models: PaaS, SaaS, IaaS
• 8 years+ Knowledge, Experience and understanding of cloud-based services for AWS, Microsoft Azure or GCP
• 8 years+ Knowledge, Experience and understanding of cloud-based network design principles
• Experience and understanding of cloud computing DevOps principles Continuous Integration/Continuous Design (CI/CD). Experience with Containerization, deploying and configuring microservices. Kubernetes architecture deployment, scaling, and maintenance
• 8 years+ Knowledge, Experience and understanding with declarative and imperative languages (YAML, JSON, Ruby, HCL, etc.) and tools that are leveraged (Ansible, Docker, Terraform, etc) to leverage infrastructure-as-code (IaC).
• Knowledge and/or hands-on experience with cloud database services (Rational/NoSQL and SQL/Oracle) data lakes and cloud ETL/ELT best practices, suitable frameworks of handling all types of data for structured and unstructured information.
• 8 years+ of experience architecting, engineering, or developing enterprise IT solutions in cloud and hybrid environments.
• Knowledge of AI services and configuration required to set up the service available from major cloud services providers.
• Knowledge of data pipelines, ETL processes, and big data frameworks