Demo

Sr. Google Cloud Platform Data Architect

Apex Systems
Dearborn, MI Full Time
POSTED ON 2/4/2025
AVAILABLE BEFORE 4/4/2025

Job Details

Job#: 2061780

Job Description:

Job Description:
  • Develop and operationalize enterprise database migration solutions using Google Cloud Platform native tools (e.g., Database Migration Service) and third-party resources (e.g., Striim, iSpirer).
  • Automate database migration processes to achieve optimal performance.
  • Conduct full technical discovery, identify pain points, business and technical requirements, and perform proof-of-concept testing for new migration solutions.
  • Assist in designing cloud architectures to migrate large-scale enterprise data sets from on-premise or other clouds to Google Cloud Platform.
  • Support application teams in implementing off-the-shelf migration tools or developing custom migration solutions.
  • Provide migration strategy and best practice guidance to enterprise customers.
  • Troubleshoot issues during and post-database migration in collaboration with application teams.

Required Skills:
  • Hands-on knowledge of relational and non-relational database concepts, architecture, and standards.
  • In-depth knowledge of Google Cloud database technologies (e.g., CloudSQL, Redis, BigTable).
  • Proficiency in programming languages: SQL, Unix shell script, PowerShell, Terraform, Go, Python.
  • Strong verbal and written communication skills.

Preferred Skills:
  • Good understanding of Agile development methodologies.
  • Ability to present complex database issues to senior IT and non-IT management.

Required Experience:
  • 8 years of overall IT experience.
  • 5 years of experience in on-prem and cloud-native database design and administration.
  • Experience in creating solutions for large data integration/migration.
  • Experience with Google Cloud Platform databases (e.g., SQL, Spanner, PostgreSQL, MongoDB, Cloud Bigtable, Firestore, Memorystore, Redis).
  • Experience in developing automation solutions (e.g., Terraform).
  • Experience in managing and deploying applications in Google Cloud Platform using Terraform and CI/CD pipelines (e.g., Tekton, Jenkins).
  • Self-starter and problem-solver.

Preferred Experience:
  • Experience with Google Cloud Platform services (e.g., CloudRun, Pub/Sub, Dataflow).
  • Knowledge of industry technology standards, network, and security frameworks/tools.

Required Education:
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field.

Preferred Education:
  • Cloud Engineer training/certification.

Additional Information:
  • Hybrid position, currently 1 day per week in the office.


EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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