Cosmos DB Architect
We are looking for a Principal Cosmos DB Architect with 10–15 years of experience to spearhead the data architecture for our mission-critical OCR and AI platforms. This senior leadership role requires a deep mastery of Java development and NoSQL modeling to build high-performance systems. You will act as the strategic link between data design and application logic, collaborating with cross-functional teams to deliver global scalability, minimal latency, and optimized cost-efficiency.
Essential functions
Key Responsibilities
- Data Architecture & Design: Lead the design and implementation of complex data models using Azure Cosmos DB (SQL/Core API), ensuring optimal partitioning and indexing strategies.
- System Optimization: Architect high-throughput, low-latency data access patterns specifically tailored for heavy-load OCR and AI processing workflows.
- Java Integration: Develop and maintain robust data access layers using Java and Spring Boot, ensuring seamless integration between our services and the database.
- Performance Engineering: Conduct performance tuning, RU (Request Unit) management, and cost-optimization audits to ensure the database scales efficiently.
- Collaboration: Partner with Backend Engineers and Platform Architects to define API contracts and cloud infrastructure requirements.
- Best Practices: Establish and document standards for NoSQL schema design, consistency levels, and disaster recovery within the Azure ecosystem.
Qualifications
Technical Requirements
- Primary Database Expertise: Extensive hands-on experience with Azure Cosmos DB, specifically focusing on the Core (SQL) API.
- Data Modeling Mastery: Proven ability to design effective partitioning strategies (synthetic keys, hierarchical partitioning) and complex indexing policies to prevent hotspots.
- Java Ecosystem: Advanced proficiency in Java development, with significant experience using the Spring/Spring Boot framework and the Azure Cosmos DB Java SDK.
- Cloud Infrastructure: Strong architectural knowledge of Azure Cloud services and how they integrate with distributed database systems.
- Service Design: Deep understanding of RESTful service integration and microservices architecture.
- Performance Focused: Experience building systems that handle high-concurrency workloads with sub-10ms latency requirements.
Preferred Qualifications
- Experience with Azure Functions or Logic Apps for event-driven data processing.
- Familiarity with AI/ML data pipelines or OCR engine outputs (e.g., Azure AI Document Intelligence).
- Knowledge of Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform or Bicep).
Would be a plus
- Experience working with OCR or document-processing data
- Exposure to polyglot persistence or multi-database architectures
- Experience supporting production data platforms at scale
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.