Cloud Architect

Job highlights
Identified by Google from the original job post
Qualifications
7+ years of experience in AWS solution architecture and design at US companies
Candidate should have extensive expertise in designing and architecting ETL solutions with AWS Glue
Perform hands-on coding with SQL, Scala, and Python to implement ETL transformations, data ingestion, and data processing tasks
Expertise in AWS Glue, AWS Lambda, AWS S3, and other relevant AWS services
Strong understanding of cloud architecture, data lakes, and data warehousing concepts
Proven experience as an AWS Glue Architect/SME in designing and developing complex data solutions
Excellent problem-solving skills with a keen eye for detail
Proficiency in SQL, Scala, and Python for ETL development
Strong communication and collaboration skills to work in a hybrid environment
Experience with big data tools like Apache Spark and Hadoop
Strong knowledge of cloud security, scalability, and cost optimization techniques
Experience with data modeling, ETL pipelines, and large-scale data processing
Familiarity with DevOps practices and tools (e.g., CI/CD, Docker, Kubernetes)
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience)
Responsibilities
Design and architect scalable, secure, and efficient data solutions using AWS Glue and related AWS services
Develop and optimize ETL pipelines and workflows in AWS Glue
Collaborate with stakeholders to understand business requirements and translate them into technical solutions
Ensure solutions align with best practices for cloud architecture, performance, and security
Provide technical guidance and mentorship to team members on AWS Glue and related technologies
Troubleshoot and resolve performance and data quality issues in ETL pipelines
Job description
MUST HAVE STRONG:
• 7+ years of experience in AWS solution architecture and design at US companies.
• Candidate should have extensive expertise in designing and architecting ETL solutions with AWS Glue.
• Perform hands-on coding with SQL, Scala, and Python to implement ETL transformations, data ingestion, and data processing tasks.
• Expertise in AWS Glue, AWS Lambda, AWS S3, and other relevant AWS services.
• Strong understanding of cloud architecture, data lakes, and data warehousing concepts.

Key Responsibilities
• Design and architect scalable, secure, and efficient data solutions using AWS Glue and related AWS services.
• Develop and optimize ETL pipelines and workflows in AWS Glue.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Ensure solutions align with best practices for cloud architecture, performance, and security.
• Provide technical guidance and mentorship to team members on AWS Glue and related technologies.
• Troubleshoot and resolve performance and data quality issues in ETL pipelines.

Required Skills and Qualifications
• Proven experience as an AWS Glue Architect/SME in designing and developing complex data solutions.
• Excellent problem-solving skills with a keen eye for detail.
• Proficiency in SQL, Scala, and Python for ETL development.
• Strong communication and collaboration skills to work in a hybrid environment.
• Experience with big data tools like Apache Spark and Hadoop.
• Strong knowledge of cloud security, scalability, and cost optimization techniques.
• Experience with data modeling, ETL pipelines, and large-scale data processing.
• Familiarity with DevOps practices and tools (e.g., CI/CD, Docker, Kubernetes).
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).

Preferred Qualifications
• AWS Certified Solutions Architect or equivalent certification.
• Background in leading hybrid or remote teams.
• Expertise with Agile or Scrum methodologies.

United States
Texas
McKinney Show on map Get directions