Data Engineer: Cloud DB Architect & AI Enablement

Inabia Software & Consulting Inc.; Phoenix (AZ); On-site; USD 110,000 - 170,000; Full time

Job summary

Confidential end client in Phoenix, AZ seeks a Data Engineer — Database, Cloud & Application Architecture to design scalable data platforms and modernize databases. You will collaborate with architects, cloud engineers, data scientists, and development teams to build reliable, high-performance solutions on AWS/Azure/GCP.

The role requires hands-on SQL, data modeling, and Python scripting, with exposure to Generative AI technologies and embeddings. Day 1 onsite, fully onsite, no hybrid.

Qualifications

• Strong experience in database architecture, engineering, or administration.
• Deep understanding of relational database concepts: SQL, data modeling, normalization, indexing, transactions, performance optimization.
• Hands-on with one or more major database platforms (PostgreSQL, Oracle, SQL Server, MySQL, MongoDB).
• Experience with cloud databases/services on AWS, Azure, or GCP.
• Understanding of cloud architecture: scalability, high availability, security, monitoring, backup, disaster recovery.
• Experience with database migration and modernization initiatives.

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/technical needs.
• Design scalable database solutions covering data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery.
• Provide expertise across platforms such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar.
• Design and support database solutions on AWS, Azure, or GCP.
• Lead or support on-premises-to-cloud database migrations and modernization initiatives.
• Optimize database performance through query tuning, indexing, partitioning, and capacity planning.
• Establish database security standards: encryption, access controls, auditing, data protection, compliance.
• Use Python for database automation, scripting, data processing, validation, and operational tasks.
• Work with AI/ML and GenAI teams; provide architectural guidance on embeddings, vector databases/search, and RAG patterns.
• Create and maintain architecture diagrams, database standards, and technical documentation.
• Provide technical leadership, architecture reviews, troubleshooting support, and mentoring.

Skills

SQL

Data Modeling

Python

Cloud Platforms

AI/ML

GenAI

Architectural Leadership

Tools

PostgreSQL

MySQL

Oracle

SQL Server

MongoDB

Job description

Confidential end client in Phoenix, AZ seeks a Data Engineer — Database, Cloud & Application Architecture to design scalable data platforms and modernize databases. You will collaborate with architects, cloud engineers, data scientists, and development teams to build reliable, high-performance solutions on AWS/Azure/GCP.

The role requires hands-on SQL, data modeling, and Python scripting, with exposure to Generative AI technologies and embeddings. Day 1 onsite, fully onsite, no hybrid.