Role: Oracle / PostgreSQL Database Engineer with AWS/Google Cloud Platform Cloud Location: Phoenix, AZ (Onsite 5 days a week) Duration: Long Term
We are seeking an experienced Data Engineer with strong expertise in data engineering databases and cloud technologies along with solid knowledge of database and application architecture The ideal candidate will have hands-on experience building scalable data pipelines and data platforms strong SQL and data modeling skills working knowledge of Python and exposure to AI/ML and Generative AI technologies.
This role will work closely with application architects database architects cloud engineers data scientists and application development teams to design and implement reliable scalable secure and high performance data solutions.
Key Responsibilities
Design and define enterprise level database architectures standards patterns and best practices
Evaluate and select appropriate relational NoSQL and cloud-native database technologies based on business and technical requirements
Design scalable database solutions covering data modeling availability resiliency backup recovery replication and disaster recovery
Provide expertise in database technologies such as PostgreSQL, MySQL, Oracle SQL Server, MongoDB or similar platforms
Design and support database solutions on cloud platforms such as AWS Microsoft Azure or Google Cloud Platform Google Cloud Platform Lead or support on-premises to cloud database migrations and modernization initiatives
Optimize database performance through query tuning indexing partitioning capacity planning and database configuration
Establish database security standards including encryption access controls auditing data protection and compliance requirements
Collaborate with application architects and engineering teams on database design APIs data access patterns and integration solutions
Use Python for basic database automation scripting data processing validation and operational tasks
Work with AIML and GenAI teams to understand data requirements and support AI enabled applications
Provide basic architectural guidance for AI related data patterns including embeddings vector databases vector search and Retrieval Augmented Generation RAG Evaluate emerging database cloud and AI technologies and recommend solutions where appropriate
Create and maintain architecture diagrams database standards technical documentation and design decisions Provide technical leadership architecture reviews troubleshooting support and mentoring to engineering teams
Strong experience in database architecture database engineering or database administration
Deep understanding of relational database concepts SQL data modeling normalization indexing transactions and performance optimization
Experience with one or more major database platforms such as PostgreSQL, Oracle SQL Server, MySQL, MongoDB or equivalent
Hands-on experience with AWS Azure or Google Cloud Platform particularly managed database services
Understanding of cloud architecture concepts including scalability high availability security monitoring backup and disaster recovery
Experience designing or supporting database migration and modernization initiatives
Basic to intermediate Python skills for scripting automation and data processing
Basic understanding of Artificial Intelligence Machine Learning and Generative AI concepts
Familiarity with AI related technologies such as vector databases embeddings semantic search LLMs and RAG is preferred
Strong problem solving analytical communication and documentation skills
Ability to collaborate effectively with architects developers data engineers infrastructure teams security teams and business stakeholders
Experience with cloud native and distributed database architectures
Experience with Infrastructure as Code and DevOps CICD practices
Knowledge of database observability monitoring and automated operations
Experience with data governance security privacy and regulatory requirements Exposure to AIML platforms and cloud based AI services
Experience supporting largescale high volume highly available enterprise systems
