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Sr. Database Lead

Amtex Systems Inc.Phoenix, AZ🇺🇸United StatesPosted Oct 15, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Phoenix, AZ, United States
Posted
Yesterday
OraclePL/SQLSQLGenerative AIPhoenixPythonRESTRedis

Job Description

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.


Sr. Database Lead
Phoenix, AZ, Chandler, AZ
Contract
Strong in Python AI and Lead level.  Database Engineer and can include (Mongo, Postgres, Redis, Oracle, SQL) but they need strong AI Experience 
The ideal candidate | Engineering-focused professional with a passion for automation, AI, and operational excellence. Demonstrates a proactive approach to problem prevention, builds scalable and reusable solutions, and continuously seeks innovative ways to improve reliability, efficiency, and knowledge sharing
Required Skills:
  • 4+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • 3-7 years of experience supporting Oracle databases in enterprise environments.
  • Strong understanding of:
  • Oracle Database Administration
  • Oracle SQL
  • PL/SQL
  • Query tuning
  • Execution plans
  • Performance diagnostics
  • Experience working with:
  • AWR
  • ASH
  • SQL Tuning
  • Optimizer behavior
  • Statistics management
  • Experience developing automation solutions for database operations.
  • Strong analytical and problem-solving skills.
  • Ability to translate complex technical findings into clear operational recommendations.
Desired Skills:
  • AI & Automation
  • Understanding of:
  • MCP (Model Context Protocol)
  • Agentic AI architectures
  • Agent-to-agent workflows
  • Retrieval Augmented Generation (RAG)
Generative AI concepts
  • Familiarity with AI governance, explainability, and trusted data practices

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