Director / Delivery Lead (Technologist / Data Engineering Generalist)

Overview

Remote
$DOE
Accepts corp to corp applications
Contract - W2
Contract - 6 month(s)

Skills

Data Engineering
DataBricks
GCP

Job Details

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Director / Delivery Lead (Technologist / Data Engineering Generalist) in Remote. Below is the detailed job description.

Role: Director / Delivery Lead (Technologist / Data Engineering Generalist)
Experience: 10+ years (flexible for strong profiles)
Location: Open / Remote Willingness to travel to client locations

Overview:
We are looking for a hands-on technologist and strong generalist who can lead client conversations, drive discovery engagements, and oversee technical delivery. The ideal candidate should have extensive experience in cloud data engineering (preferably Google Cloud Platform, Databricks, or other major cloud platforms) and the ability to initiate and manage early-stage project discussions.

Key Responsibilities:

  • Lead client discussions, understand requirements, and define discovery engagement goals.
  • Drive one or more discovery engagements end-to-end.
  • Translate business objectives into actionable technical plans.
  • Provide architectural and design guidance across cloud data platforms.
  • Collaborate with cross-functional teams to ensure project alignment and delivery readiness.
  • Act as the technical anchor ensuring smooth handover from discovery to implementation.

Required Skills:

  • Strong experience in Cloud Data Engineering (Google Cloud Platform / Databricks / AWS / Azure).
  • Deep understanding of modern data architectures, pipelines, and ETL frameworks.
  • Excellent client communication, stakeholder management, and leadership skills.
  • Ability to balance strategic thinking with hands-on technical delivery.

Nice to Have:

  • Experience with data discovery or modernization programs.
  • Exposure to AI/ML, data governance, or BI ecosystems.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.