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Technical Lead – AI/Data Engineering

J-RAM IT Consulting Inc.Dallas, TX🇺🇸United StatesPosted Sep 28, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
3 days ago
AWSETLOAuthDatabricksPythonTerraformVue

Job Description

Technical Lead – AI/Data Engineering

Introduction:

The Technical Lead – AI/Data Engineering position is a key role within our team responsible for leading technical projects related to artificial intelligence and data engineering. The individual in this role will be instrumental in driving the development and implementation of AI and data solutions, utilizing a variety of tools and technologies such as Amazon S3, AWS, Lambda, Databricks, and more.

Responsibilities:

  • Lead and mentor a team of technical professionals in the development and deployment of AI and data engineering solutions
  • Manage stakeholder relationships and effectively communicate project updates and progress
  • Contribute to technical delivery, estimation, and project planning activities
  • Ensure code quality, security, and governance standards are adhered to throughout the development process
  • Collaborate with cross-functional teams to design and implement solution architectures
  • Provide production support and participate in design reviews to ensure best practices are followed

Requirements:

Required Skills:

  • Data Engineering Technical Lead experience
  • Proficiency with Amazon S3, Amazon Web Services, and other cloud computing technologies
  • Strong knowledge of artificial intelligence concepts and frameworks
  • Experience with continuous integration and continuous delivery practices
  • Knowledge of Extract, Transform, Load (ETL) processes and data modeling
  • Experience with tools such as Databricks, Terraform, and Vue.js
  • Understanding of solution architecture and information security governance

Preferred Skills:

  • Experience with LangChain, Prompt Engineering, and OAuth
  • Proficiency in Python programming language
  • Knowledge of leadership principles and team management
  • Familiarity with technologies like LangChain, Vue.js, and Databricks
  • Experience with cloud-native architecture and Amazon Lambda

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