AWS Architect

Tezo is a new generation Digital & AI solutions providers, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

Job Overview:

The AWS Architect with Data Engineering Skills will be responsible for designing, implementing, and managing scalable, robust, and secure cloud infrastructure and data solutions on AWS. This role requires a deep understanding of AWS services, data engineering best practices, and the ability to translate business requirements into effective technical solutions.

Key Responsibilities:

Architecture Design:

• Design and architect scalable, reliable, and secure AWS cloud infrastructure.
• Develop and maintain architecture diagrams, documentation, and standards.

Data Engineering:

• Design and implement ETL pipelines using AWS services such as Glue, Lambda, and Step Functions.
• Build and manage data lakes and data warehouses using AWS services like S3, Redshift, and Athena.
• Ensure data quality, data governance, and data security across all data platforms.

AWS Services Management:

• Utilize a wide range of AWS services (EC2, S3, RDS, Lambda, DynamoDB, etc.) to support various workloads and applications.
• Implement and manage CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy.
• Monitor and optimize the performance, cost, and security of AWS resources.

Collaboration and Communication:

• Work closely with cross-functional teams, including software developers, data scientists, and business stakeholders.
• Provide technical guidance and mentorship to team members on best practices in AWS and data engineering.

Security and Compliance:

• Ensure that all cloud solutions follow security best practices and comply with industry standards and regulations.
• Implement and manage IAM policies, roles, and access controls.

Innovation and Improvement:

• Stay up to date with the latest AWS services, features, and best practices.
• Continuously evaluate and improve existing systems, processes, and architectures.