Enterprise Quality Architect-Detroit, MI - Georgia IT Inc.
Detroit, MI
About the Job
Enterprise Quality Architect
Location: Detroit, MI
Duration: Long term
Rate: DOE
US Citizens and Green Cards Only.
What You Will Do:
Location: Detroit, MI
Duration: Long term
Rate: DOE
US Citizens and Green Cards Only.
What You Will Do:
- Facilitate collaboration across delivery teams to ensure implementation of overall standards, best practices and continuous improvement topics, such as unit testing, continuous delivery, code reviews and test automation
- Collaboratively define quality gates for projects, such as code coverage, security scans, performance targets, etc.
- Mentor, train and support other teams and team members in overall testing processes and strategy, automation, performance and load, scalability, high availability, test case/data management, disaster recovery, security and full integration testing
- Be an advocate for positive technological and quality changes
- Design, create and build next-generation, quality-focused architectures and concepts
- Develop data quality best practices, process changes, standards and continuous process improvement topics, and build highly maintainable and reusable automation modules
- Serve as a subject matter expert on issues that impact product quality, performance, scalability and system stability
- Effectively facilitate and drive the quality of an application, including testing strategy, design, code review and retrospective sessions, and perform this process for multiple teams and applications
- Maintain an intense curiosity and devotion to keeping skills current with market trends and researching newer tools and ideas within the industry
- Oversee projects to ensure overall system quality and test to see if automation deliverables are being met
- 7 years of quality engineering experience
- Data engineering concepts/experience and architecture building
- Data as a service experience
- Experience creating quality testing frameworks on large scale data platforms in modern data technologies like Hadoop, Cloudera, AWS, etc.
- Proficient understanding of data warehousing concepts and dimensional modeling
- Experience setting up a software development life cycle environment for data product delivery, including but not limited to: CI/CD, GIT, etc.
- Successful experience mentoring team members on best practices and skill development
- Experience building frameworks for QA tests and processes
- Experience with any of the following: Nunit, Xunit, JUnit, Selenium, Robotium, TSQLT or any other performance load testing
- Ability to write Regex
- Machine learning experience
- Model deployment experience
- Data science best practices like model governance
- Experience in relevant fields, such as computer science or data analytics
- Bachelor's degree in computer science or similar field (Master's or higher preferred)
Source : Georgia IT Inc.
