Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Job Title Database Cloud Engineer / Database Cloud Architect
Job Location Phoenix, AZ
Duration 12 Months
Rate $60/hr C2C / $50/hr W2
Mandatory Skills : AWS Database Service, AWS Infra Services, PostgreSQL-DB Administration, Python
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.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.