Senior AI Data Engineer
Skills
About the role
Job Title: Senior AI Data Engineer
Location: Houston, TX
Duration: Full-time
Overview:
We are seeking a hands-on Enterprise Data Architect to lead a data modernization effort in a growing SMB environment.
The focus is on consolidating data from ERP, CRM, PSA, HR, payroll, project management, and financial systems into a centralized reporting and operational data platform.
This role will design and build modern data architecture and pipelines, enabling consistent reporting, analytics, and future automation/AI capabilities.
Strong experience with modern data platforms such as Microsoft Fabric, Snowflake, or Databricks is preferred.
Responsibilities:
Consolidate data across ERP, CRM, PSA, HR, payroll, and financial systems
Design and implement modern data architecture and pipelines
Build centralized reporting and analytics data models
Support data governance, quality, and MDM
Enable operational dashboards and multi-entity reporting
Partner with stakeholders to translate business needs into data solutions
Support future automation and AI readiness
Requirements:
7+ years in data architecture or data engineering
Experience with modern cloud data platforms (Fabric, Snowflake, or Databricks)
Strong background in data integration, modeling, and ETL/ELT
Experience working with disconnected enterprise systems
Comfortable in fast-paced, hands-on environments
Pay: From $115,000.00 per year
Application Question(s):
Willing to come for in-person interview in Houston, TX
Experience:
Modern data platforms (Fabric, Snowflake, or Databricks): 2 years (Required)
Support data governance, quality, and MDM: 2 years (Required)
Design and build modern data architecture and pipelines: 3 years (Required)
Work Location: In person
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