About the Role
We are looking for a Cloud Architect (AWS – Data & AI) with at least 8 years of experience in designing cloud solutions at enterprise scale. This position plays a key role in shaping AWS- and data-driven platforms while guiding organizations on their AI adoption journey. You’ll work across cloud, data, and AI strategies, ensuring solutions are secure, scalable, cost-efficient, and aligned with business objectives. Beyond technical design, you will influence client decisions, mentor engineering teams, and help define adoption roadmaps across multiple industries.

Your Responsibilities & Contribution

• Design and deliver enterprise-level AWS cloud and data architectures focused on scalability, security, and resilience.

• Build high-performance solutions across compute, networking, and storage tailored to organizational needs.

• Define and implement data strategies such as data lakes, data warehouses, and real-time streaming pipelines (S3, Redshift, Glue, Kinesis).

• Provide blueprints for AI/ML adoption using SageMaker, Bedrock, and custom ML workflows.

• Support presales initiatives by preparing proposals, leading client workshops, and conducting cost estimations.

• Produce clear AWS reference architectures and technical diagrams for client communication.

• Lead cost analysis and optimization using AWS Cost Explorer, Pricing Calculator, and financial estimation models.

• Establish architecture guidelines and best practices to steer delivery teams.

• Act as the link between technical and business stakeholders, communicating design decisions in business-friendly terms.

• Mentor and coach teams on AWS adoption, architectural best practices, and data strategy.

What You’ll Need
Essential Skills:

• 8+ years of experience in AWS cloud architecture and enterprise-level system design.

• Strong expertise in AWS core services: EC2, Lambda, ECS/EKS, RDS, S3, Glue, Redshift, SageMaker, Bedrock.

• Solid background in data platforms: data lakes, warehouses, and real-time pipelines.

• Experience integrating AI/ML solutions into enterprise environments.

• Proficiency in cost optimization using AWS Cost Explorer, Pricing Calculator, and estimation frameworks.

• Skilled in creating AWS architecture diagrams using AWS Icons, Lucidchart, or Draw.io.

• Awareness of Python and modern API stacks (not necessarily hands-on coding).

• Excellent communication skills for presales, executive presentations, and stakeholder management.

Preferred Skills:

• Domain expertise in Banking, Telecom, or Retail.

• Relevant certifications such as AWS Solutions Architect – Professional, Data Analytics Specialty, or ML Specialty.

• Knowledge of IAM, security best practices, and compliance frameworks.

• Familiarity with observability and monitoring tools (CloudWatch, Grafana, OpenTelemetry).

• Ability to advise on workload performance and cost optimization.

• Experience leading technical and executive workshops for AWS adoption.