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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Database Architect - **Company:** SolutionIT, Inc. - **Location:** Phoenix, AZ, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Database, Cloud Engineering, Databases, Continuous Integration, Data Architecture, Data Governance, Data Security, Relational Databases, Database Design, Database Development, Database Security, DevOps, Disaster Recovery, Distributed Data Store, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MongoDB, MySQL, NoSQL, Oracle (Applications), Performance Tuning, Query Optimization, Azure Machine Learning, Search Technologies, SQL Databases, Data Processing, Scripting, Google Cloud, System Availability, Large Language Models, Database Performance, Generative AI, Indexer, Database Migration, Enterprise Integration - **Published:** August 20, 2026 - **Apply:** https://www.careerjet.com/jobad/usad807d12d8d6f62544d8a8b850336dd5 ## About the Role * 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 GCP, 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/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 ## Description The ideal candidate will have expertise in relational and NoSQL databases, cloud-based database services, data architecture, and performance optimization, along with working knowledge of Python and AI/ML technologies. 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 (GCP). * 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 AI/ML 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. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)