Technical Product Manager (Databricks)

Tranzeal Incorporated; Plano (TX); Hybrid; USD 80,000 - 120,000; Part time

Job summary

A leading IT services firm is seeking a Technical Product Manager to design and implement Lakehouse architecture using Databricks. This hybrid role involves managing client engagements and developing AI-driven prototypes. The ideal candidate has expertise in ETL/ELT processes and strong communication skills, with a mid-senior level of experience. Join a company where innovation drives success in the ever-evolving IT landscape.

Qualifications

• Strong hands-on experience with Databricks, Lakehouse architecture, and data engineering workflows.
• Excellent communication, presentation, and client management skills.
• Ability to work independently and collaborate effectively in a cross-functional environment.

Responsibilities

• Design and implement Lakehouse architecture solutions using Databricks.
• Develop and optimize ETL/ELT pipelines for data processing.
• Collaborate with clients to translate requirements into technical solutions.

Skills

Databricks

Lakehouse architecture

ETL/ELT processes

AI tools

Client management

Job description

Job Title

Technical Product Manager

Location

Plano TX or Mountain View CA

Work Mode

Hybrid

Position Overview

We are looking for a highly skilled TPM 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 GCP).
• Proven experience in building and presenting prototypes to clients.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Product Management

Industries

IT Services and IT Consulting and Financial Services