Description

Key Responsibilities

• Design and define enterprise-level database architectures, standards, patterns, and best practices
• Evaluate and select relational, NoSQL, and cloud-native database technologies based on business requirements
• Design scalable solutions covering data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery
• Optimize database performance through query tuning, indexing, partitioning, and capacity planning
• Establish database security standards including encryption, access controls, auditing, and compliance
• Use Python for scripting, automation, data processing, and validation tasks
• Support AI/ML and GenAI teams with data requirements, vector databases, embeddings, and RAG patterns
• Create and maintain architecture diagrams, technical documentation, and design decisions
• Provide technical leadership, architecture reviews, and mentoring to engineering teams

Required Skills

• Strong experience in database architecture, database engineering, or database administration
• Deep understanding of relational database concepts — SQL, data modeling, normalization, indexing, transactions, performance optimization
• Experience with PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, or equivalent platforms
• Hands-on experience with AWS, Azure, or GCP managed database services
• Basic to intermediate Python skills for scripting, automation, and data processing
• Experience designing or supporting database migration and modernization initiatives
• Understanding of cloud architecture — scalability, high availability, security, monitoring, and disaster recovery

Preferred Skills

• Familiarity with AI/ML and Generative AI — vector databases, embeddings, semantic search, LLMs, and RAG
• Experience with Infrastructure as Code and DevOps/CI/CD practices
• Knowledge of database observability, monitoring, and automated operations
• Experience with data governance, security, privacy, and regulatory requirements
• Exposure to AI/ML platforms and cloud-based AI services
• Experience supporting large-scale, high-volume, highly available enterprise systems

Key Skills

Education

Bachelor's degree