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Job Title: AWS Architect - Infrastructure Automation and Data Platform Specialist
Location: US Remote
Duration: 6+ months long term contract
Client: FOX
Job Overview:
We are seeking a highly skilled and experienced AWS Architect with a strong background in infrastructure automation, Infrastructure as Code (IaC), building self-service provisioning platforms, DevOps practices, and expertise in building cloud solutions for data platforms. As our Senior AWS Architect, you will play a crucial role in designing, implementing, and maintaining scalable, secure, and highly available cloud infrastructure solutions on the Amazon Web Services (AWS) platform. You will collaborate closely with cross-functional teams to understand business requirements and translate them into effective architectural designs that align with best practices and industry standards. Your expertise in infrastructure automation, IaC, self-service provisioning platforms, DevOps, and data platform solutions will be essential in enabling efficient and streamlined infrastructure provisioning, deployment, management, and analytics across our organization.
Responsibilities:
Design and implement scalable, secure, and high-performance AWS architectures using best practices and industry standards.
Collaborate with stakeholders to understand business requirements, translate them into technical specifications, and develop effective infrastructure solutions.
Develop and maintain Infrastructure as Code (IaC) templates using tools like Terraform, AWS CloudFormation, or similar, to enable efficient provisioning and management of infrastructure resources.
Build and enhance self-service provisioning platforms, empowering teams to provision and manage infrastructure resources independently and efficiently.
Implement DevOps practices, including continuous integration, continuous deployment (CI/CD), and automated testing, to enable rapid and reliable software delivery.
Architect and build cloud solutions for data platforms, including data storage, processing, and analytics, leveraging AWS services such as S3, Redshift, Glue, Athena, and EMR.
Automate infrastructure deployment, configuration, and management processes using appropriate tools and frameworks, with a strong emphasis on Terraform.
Ensure adherence to security and compliance standards throughout the infrastructure design and implementation phases.
Conduct thorough performance analysis, capacity planning, and cost optimization to ensure optimal resource utilization and cost-effective solutions.
Collaborate with cross-functional teams, including developers, data engineers, operations, and security teams, to ensure seamless integration of infrastructure and data platform solutions.
Provide technical guidance, mentorship, and support to junior team members, fostering a culture of knowledge sharing and continuous learning.
Stay updated with the latest trends, advancements, and best practices in AWS, infrastructure automation, IaC, self-service provisioning platforms, DevOps, and data platform solutions, and apply them to drive continuous improvement.
Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Extensive experience as an AWS Architect, with a focus on infrastructure automation, IaC, building self-service provisioning platforms, DevOps practices, and data platform solutions(link removed)
Strong proficiency in designing and implementing complex AWS architectures, including VPC, EC2, S3, RDS, Lambda, Redshift, Kinesis, Glue, Athena, EMR, and other relevant AWS services.
In-depth knowledge of Infrastructure as Code (IaC) concepts and tools, with strong expertise in Terraform.
Proven experience in building self-service provisioning platforms and empowering teams to provision and manage infrastructure resources independently.
Hands-on experience with DevOps practices, including CI/CD pipelines, automated testing, and configuration management tools (e.g., Ansible, Puppet, Chef).
Solid understanding of networking concepts, security best practices, and compliance frameworks in the AWS ecosystem.
Expertise in designing and building cloud solutions for data platforms, including data storage, processing, and analytics.
Excellent problem-solving and troubleshooting skills with the ability to identify and resolve complex infrastructure and data platform issues.
Strong communication and collaboration skills, with the ability to effectively articulate technical concepts to both technical and non-technical stakeholders.
AWS certifications such as AWS Certified Solutions Architect Professional, AWS Certified Data Analytics Specialty or AWS Certified Machine Learning - Specialty are highly desirable.
Experience in dbt (data building tool), DataBricks, Monte Carlo (data observability)
Experience in Airflow is a plus
Argyllinfotech
