About the Role:

We are seeking a Cloud Database Engineer to join our Cloud Engineering team and support our cloud-based data infrastructure. This role focuses on optimizing database operations, enabling analytics/reporting tools, and driving automation initiatives to improve scalability, reliability, and cost efficiency across the data platform.

Key Responsibilities:

Manage and administer cloud-native databases, including Azure SQL, PostgreSQL Flexible Server, Cosmos DB (vCore), and MongoDB Atlas.
Automate database maintenance tasks (e.g., backups, performance tuning, auditing, and cost optimization).
Implement and monitor data archival and retention policies to enhance query performance and reduce costs.
Build and maintain Jenkins pipelines and Azure Automation jobs for database and data platform operations.
Design, develop, and maintain dashboards for cost tracking, performance monitoring, and usage analytics (Power BI/Tableau).
Enable and manage authentication and access controls (Azure AD, MFA, RBAC).
Collaborate with cross-functional teams to support workflows in Databricks, Power BI, and other data tools.
Write and maintain technical documentation and standard operating procedures (SOPs) for data platform operations.
Work with internal and external teams to ensure alignment of deliverables and data platform standards.

Preferred Qualifications:

Proven experience with cloud platforms (Azure preferred; AWS or GCP acceptable).
Strong hands-on expertise with relational and NoSQL databases.
Experience with Power BI (DAX, data modeling, performance tuning, and troubleshooting).
Familiarity with CI/CD tools (Jenkins, Azure Automation) and version control (Git).
Strong scripting knowledge (Python, Bash, PowerShell) and experience with Jira, Confluence, and ServiceNow.
Understanding of cloud cost optimization and billing/usage tracking.
Experience implementing RBAC, encryption, and security best practices.
Excellent problem-solving skills, communication, and cross-team collaboration abilities.

Nice to Have:

Hands-on experience with Databricks, Apache Spark, or Lakehouse architecture.
Familiarity with logging, monitoring, and incident response for data platforms.
Understanding of Kubernetes, Docker, Terraform, and advanced CI/CD pipelines.

Required Skills:

Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent professional experience).
5+ years of professional experience in data engineering or database administration.
3+ years of database administration experience in Linux and cloud/enterprise environments.

Project

The product is aimed at comprehensive retail chain automation and covers all work processes of large retail chain operators. The product covers retail store management, warehouse management, payment systems integration, logistics management, hardware/software store automation, etc. The product is already adopted by the market, and the biggest US and global retail operators are among the clients.

About the Company:

Toshiba Global Commerce Solutions is a dynamic global company based in Research Triangle Park, NC, providing retail store solutions to your favourite brands. Have you ever been in a hurry and made use of the self-checkout at Lowe’s Foods, earned fuel rewards at Kroger, or just paid for purchases at retailers such as Walmart, Michaels, Carrefour, The Gap, Calvin Klein, Boots, Cencosud, BJ’s, or Costco? These are just a few examples of our in-store solutions and impressive customer base that made us the world’s installed market share leader.

The nature of retail is changing quickly, so if you share our ‘Together Commerce’ vision of a seamless two-way, participatory shopping experience, let’s get together to drive the new economy.