AWS Cloud DataBase Architect

Vish Consulting Services - Hapeville, GA

Full-time - Senior

Hapeville, GA

About the position

The Senior AWS Cloud Database Architect is responsible for designing, developing, and maintaining high-performance, scalable, and stable database solutions on AWS. This role involves leading data solution aspects, collaborating with various teams, and ensuring the successful delivery of automated processes and documentation. The architect will also mentor team members and recommend improvements for existing database systems.

Responsibilities

• Expertise with multiple AWS DB Services and Lambda creations for automating multiple DB jobs.
• Database automation in AWS with RDS and Lambda using Python.
• Creating and maintaining high performance, scalable, and stable database solutions.
• Working with customers, deployment squads, and product management to identify and document use case scenarios.
• Leading on all data solution aspects including setting data standards and providing technical expertise to development teams.
• Designing database solutions that are highly available and meet disaster recovery requirements.
• Designing effective data store solutions that account for capacity planning, data tiering, and data life-cycle management.
• Designing, developing, and maintaining automated systems for AWS Cloud-based products and services.
• Troubleshooting issues with automations and ensuring efficient solutions.
• Collaborating with team members for effective and efficient automations.
• Evaluating existing automation processes and identifying areas of improvement.
• Monitoring and validating performance and functionality of automated processes to ensure objectives are met.
• Developing and maintaining documentation for automated processes and ensuring knowledge transfer.
• Mentoring team members on new technologies and automation processes.
• Working with QA to create detailed test plans and needed tooling for production volume data.
• Ensuring successful delivery of solutions, training, and documentation internally and with customers.
• Recommending solutions to improve new and existing database systems.
• Participating in code reviews and creating documentation for engineering and cross-functional practices.
• Working with cross-functional teams to ensure end-to-end technical and business viability.
• Learning new database technologies as necessary.

Requirements

• Expertise in AWS database services such as RDS, Lambda, and automation using Python.
• Experience with Oracle, Postgres, and AuroraDB.
• Strong understanding of database design principles and disaster recovery requirements.
• Ability to create and maintain high-performance database solutions.
• Experience in capacity planning, data tiering, and data life-cycle management.
• Proven ability to troubleshoot automation issues and implement efficient solutions.
• Strong documentation skills and ability to transfer knowledge effectively.

Nice-to-haves

• Familiarity with AI tools for job description enhancement.
• Experience in mentoring and training team members on new technologies.

Benefits

• Competitive salary based on experience.
• Opportunity to work with cutting-edge technologies in cloud computing.