Cloud Architect (AWS, GCP)

Cloud Architect (AWS with GCP Exposure)

We are seeking a highly motivated and skilled Cloud Architect with a passion for data and its applications to join our growing team. You will play a pivotal role in designing, deploying, and managing secure, scalable, and data-driven cloud solutions on AWS and GCP platforms. You will collaborate closely with data scientists, application developers, and other stakeholders to ensure our data-driven applications and big data pipelines run efficiently, cost-effectively, and empower informed decision-making.

Responsibilities:

Data-Centric Architecture:
 Architect robust, scalable, and data-optimized cloud solutions on AWS (Heavy) and GCP, aligning with best practices, security principles, and data governance requirements.
 Design and implement cost-effective cloud solutions optimized for data processing, storage, and analytics workloads, considering data app demands and big data needs.
 Conduct thorough assessments of existing data. infrastructure (on-premises or cloud-based) for potential migration, focusing on data pipelines, processing requirements, and data governance compliance.
 Develop cloud migration strategies and roadmaps for data infrastructure and data apps, ensuring a smooth and efficient transition.

Data App Enablement:
 Collaborate with application developers to understand their data app requirements and design tailored cloud solutions that support performance, scalability, and seamless data integration.
 Implement and manage cloud infrastructure components specific to data app performance, including high-performance computing, distributed storage, data lakes, databases, and caching solutions.
 Automate infrastructure provisioning and management using IaC tools (Terraform, Ansible, CloudFormation) and integrate with CI/CD pipelines for data app development and deployment.

Big Data Expertise:
 Design and implement efficient big data processing pipelines on the cloud, leveraging platforms like AWS Kinesis, Google Cloud Dataflow, or other relevant technologies.
 Configure and manage cloud storage solutions (data lakes, object storage) optimized for big data volumes and analytics needs.
 Monitor and optimize cloud performance for big data workloads, focusing on resource efficiency, cost optimization, and data processing pipeline effectiveness.

Collaboration and Communication:
 Proactively communicate cloud architecture decisions, implementation plans, and potential risks to data scientists, application developers, and relevant stakeholders.
 Stay up-to-date on the latest cloud technologies and best practices relevant to data apps and big data, sharing knowledge with the team through presentations, training sessions, or documentation.
 Contribute to the development and implementation of data governance policies and procedures for cloud-based data assets.

Essential Skills:
 4+ years of experience as a Cloud Architect or a related role with a strong emphasis on data infrastructure and applications.
 Proven expertise in designing, implementing, and managing cloud solutions on AWS and GCP.
 Strong understanding of cloud infrastructure components, including networks, storage, compute, security services, and their role in data-driven applications and big data processing.
 Experience with infrastructure as code (IaC) tools like Terraform, Ansible, or CloudFormation.
 Familiarity with DevOps principles and practices, particularly in the context of data apps and big data pipelines.
 Excellent communication, collaboration, and problem-solving skills.
 Ability to work independently and as part of a team.
 Experience with CI/CD pipelines and automation tools in a data app and big data context.
 Experience with containerization technologies like Docker and Kubernetes for data app and big data workloads.

Desired:
 AWS Certified Solutions Architect  Professional or equivalent.
 Google Cloud Certified Professional Cloud Architect or equivalent.
 Familiarity with data warehousing, data lake, and big data processing technologies on the cloud (e.g., Spark, Hadoop).
 Understanding of data governance frameworks and regulations.
 Experience with machine learning platforms and services on the cloud,