AWS Data Architect

Cloud Infrastructure Management:
Design, implement, and maintain AWS cloud solutions, including VPCs, EC2 instances, S3 storage, RDS, and networking configurations.
Ensure high availability, disaster recovery, and backup solutions for cloud environments.
Implement Infrastructure as Code (IaC) using tools like Terraform, AWS CloudFormation, or CDK.
Data Solutions with Databricks:
Serve as a Databricks SME, guiding the architecture and implementation of ETL pipelines, data lakes, and machine learning workflows using Databricks on AWS.
Optimize Databricks clusters for performance, cost, and security.
Integrate Databricks with other AWS services like S3, Redshift, and Glue for seamless data processing.

Minimum Skills and Qualifications:
Strong expertise in AWS services (EC2, S3, Lambda, RDS, VPC, CloudFormation, IAM, etc.).
Proficiency with Databricks, including building and managing data pipelines, data lakes, and machine learning models.
Experience with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
Knowledge of big data technologies like Apache Spark, Hadoop, or Delta Lake.
Proficient in programming and scripting languages (e.g., Python, SQL, Scala).
Experience with CI/CD pipelines for deploying cloud infrastructure.

Certifications:
Required:
AWS Certified Solutions Architect (Associate or Professional)
Databricks Certified Associate Developer for Apache Spark