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Urgent Opening for Lead Data Engineer

Apetan ConsultingUnited States🇺🇸United StatesPosted 15 Sept 2026

Why This Role Stands Out

This Lead Data Engineer role offers significant opportunity to shape enterprise data solutions within the AWS ecosystem, driving innovation and mentoring a team. You'll thrive here if you're a seasoned engineer with a passion for architecture and a desire to impact the future of data modernization. Embrace this chance to elevate your career and contribute to a forward-thinking energy client.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
United States
Posted
Yesterday
AWSETL

Job Description

Lead Data Engineer 

Client: Energy 

Location: Harrisburg, North Carolina, United States  – 3 days onsite Hybrid

 

About the Role

The Lead Data Engineer will drive the design, architecture, and implementation of enterprise data engineering solutions across the AWS ecosystem. This role combines hands-on technical leadership with architectural ownership, partnering closely with data architects, data scientists, product owners, and business stakeholders to build scalable, secure, and reliable data platforms. The Lead Data Engineer will also mentor engineers, set engineering standards, and help shape the organization's data modernization and AI-readiness roadmap.

Key Responsibilities

  • Lead the design, architecture, and implementation of enterprise data engineering solutions across the AWS ecosystem
  • Collaborate with Lead Developers, Data Scientists, Architects, Product Owners, and business stakeholders to define technical strategy and scalable solutions
  • Provide technical leadership and mentorship to Data Engineers and development teams, promoting engineering excellence and best practices
  • Drive key architectural decisions in partnership with Data Architects and Solution Architects to ensure scalability, security, reliability, and maintainability
  • Design and oversee data warehouse and data lake solutions that balance business usability, performance, and long-term sustainability
  • Establish engineering standards for data modeling, ETL frameworks, pipeline reliability, monitoring, and operational excellence
  • Lead end-to-end solution delivery, ensuring alignment with business requirements, enterprise architecture standards, and regulatory requirements

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