Job Title:
Technology Lead Data Modeler (Database / Databricks)
Location:
Houston, TX Onsite relocation accepted)
Contract Duration: 6 Months
Start Date:
October 22, 2025
Experience Required: 10+ Years
Visa:
Only Visa-Independent Candidates
POC:
Sam Chavez
Job Summary:
We are seeking a Technology Lead Data Modeler to join our client's data engineering team in Houston, TX.
The ideal candidate will have extensive experience in data modeling, database design, and data architecture, with a strong working knowledge of Databricks and Python/PySpark.
This role involves leading the design and implementation of enterprise-grade data models that enable scalable analytics and reporting solutions.
Key Responsibilities:
Lead data modeling efforts across enterprise data initiatives, ensuring alignment with business and technical requirements.
Design, develop, and maintain logical and physical data models to support analytics, reporting, and data integration.
Work with cross-functional teams including data architects, analysts, and business stakeholders to translate business needs into optimal data structures.
Ensure data quality, governance, and consistency across multiple systems and environments.
Provide guidance and mentorship to junior team members in data modeling best practices.
Collaborate with engineering teams to implement and optimize models in Databricks and cloud environments.
Support data transformation and integration activities using Python/PySpark and related tools.
Must-Have Skills:
Data Modeling (conceptual, logical, and physical)
Databricks awareness
Strong database design and implementation experience
Python / PySpark proficiency
Nice-to-Have Skills:
Leadership and team mentoring
Strong accountability and communication skills
Interview Process:
Mode:
Virtual / Face-to-Face as required
Mandatory Submission Details:
Updated phone number, email, and Skype ID
Five (5) interview time slots within 72 hours of profile submission
Incomplete submissions will be automatically rejected
