Cloud Database Architect

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.

Must-Have Skills

• 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.

Good-to-Have Skills

• 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.

Preferred Candidate Profile

• 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.