Data & AI Architect (AWS)

Job Description :

• 10+ years of experience in data, analytics, and architecture roles.
• Strong hands-on experience with AWS services , including but not limited to:
• S3, Redshift, RDS, DynamoDB
• Glue, EMR, Athena, Lake Formation
• Kinesis, MSK, Lambda, Step Functions
• SageMaker (or equivalent ML services)
• Expertise in data modeling , data lakes, data warehouses, and lakehouse architectures.
• Experience designing and operationalizing AI/ML pipelines .
• Strong knowledge of SQL, Python , and data processing frameworks (Spark, Presto, etc.).
• Solid understanding of cloud security, IAM, networking, and cost optimization .

• Strong architectural thinking and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work in fast-paced, cross-functional environments.