Cloud Database Architect
LTM
Role description Role Summary We are looking for a Data Engineer / Database Cloud Architect with expertise in databases, cloud platforms, and data architecture. The ideal candidate will design scalable, secure, and high-performing data solutions across AWS, GCP, and Oracle environments while supporting AI/ML and Generative AI initiatives. Key Responsibilities
- Design enterprise database architectures, standards, and best practices.
- Build scalable data platforms, pipelines, and cloud-native database solutions.
- Lead database modernization and cloud migration initiatives.
- Optimize database performance, availability, resiliency, and disaster recovery.
- Define database security, governance, and compliance standards.
- Collaborate with architects, developers, cloud engineers, and data scientists.
- Develop automation and data processing solutions using Python.
- Support AI/ML and GenAI use cases, including vector databases and RAG architectures.
- Create architecture documentation, technical standards, and solution designs.
- Mentor teams and provide technical leadership on database and cloud technologies.
- Strong experience in Data Engineering and Database Architecture .
- Hands-on expertise with PostgreSQL (primary requirement).
- Experience with Oracle Database .
- Strong SQL, data modeling, query tuning, indexing, and performance optimization.
- Experience with cloud platforms: AWS and/or GCP .
- Database migration and modernization experience.
- Python scripting for automation and data processing.
- Knowledge of high availability, replication, backup/recovery, and disaster recovery.
- Experience designing scalable cloud-native database solutions.
- Strong understanding of application and database integration architecture.
- Couchbase, MongoDB, MySQL, SQL Server.
- AI/ML and Generative AI exposure.
- Vector Databases, Embeddings, Semantic Search, RAG (Retrieval-Augmented Generation).
- Database observability and monitoring tools.
- Infrastructure as Code (Terraform) and CI/CD practices.
- Data governance, compliance, privacy, and security frameworks.
- Experience with cloud AI services and AI platforms.
- Experience supporting large-scale, high-volume enterprise systems.
- 8+ years in Database Engineering, Data Engineering, or Database Architecture.
- Strong PostgreSQL and Oracle expertise.
- Experience across AWS and/or GCP cloud environments.
- Proficient in Python and modern data engineering practices.
- Familiarity with AI-enabled data architectures and GenAI technologies.
Vacancy posted 1 day ago
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