Data Engineering Manager -- Immediate Interview

  • Plano, TX
  • Posted 12 hours ago | Updated 12 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Databricks
ETL
GenAI tools
Lakehouse Architecture
Data Pipelines
AWS

Job Details

Job Title: Data Engineering Manager (Databricks/GenAI)

Location: Plano, TX/ Mountain View, CA

Duration: Long Term

Client: Direct

No of Positions: 3-4

Job Description:

We are looking for a highly skilled Data Engineering Manager with hands-on experience in designing and implementing Lakehouse architecture using Databricks and GenAI tools, The ideal candidate should have strong knowledge of ETL/ELT processes, familiarity with modern AI tools, and the ability to independently manage client engagements. This role involves both technical development and client-facing coordination, including the ability to build AI-driven prototypes.

Key Responsibilities

* Design and implement Lakehouse architecture solutions using Databricks and related technologies.

* Develop and optimize ETL/ELT pipelines for large-scale data processing and integration.

* Leverage AI tools such as Cursor, Claude Code, Builder.io, or similar platforms to accelerate development and prototyping.

* Collaborate with clients to understand requirements and translate them into scalable technical solutions.

* Develop AI-powered prototypes to demonstrate potential use cases and accelerate business adoption.

* Manage client communication, project coordination, and ensure timely delivery of solutions.

* Work independently and take ownership of end-to-end project deliverables.

Required Skills

* Strong hands-on experience with Databricks, Lakehouse architecture, and data engineering workflows.

* Solid understanding of ETL/ELT concepts, data modeling, and data transformation.

* Exposure to AI-assisted development tools (Cursor, Claude Code, Builder.io, or equivalents).

* Excellent communication, presentation, and client management skills.

* Ability to work independently and collaborate effectively in a cross-functional environment.

Preferred Qualifications

* Experience in AI/ML integration with data pipelines.

* Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform).

* Proven experience in building and presenting prototypes to clients.

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.

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