Senior Data Architect - Cloud-Native Data Platform

United Utility Services, LLC; Spring (TX); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Health Savings Account (HSA) and FSA

401(k) with company match

Paid time off

Company-paid holidays

Short and long-term disability

Job summary

United Utility Services, LLC is seeking a hands-on Data Architect to design, build, and operationalize an enterprise data platform. This 100% cloud, Microsoft‑centric role unifies data sources using Azure, Fabric, Power Platform, and Dataverse to enable governed analytics and AI initiatives.

Responsibilities include building pipelines, modeling data, and delivering self‑service reporting with Power BI, Dataverse, and related tools.

Qualifications

• 7+ years in data architecture or analytics architecture roles.
• Hands-on experience with Microsoft Fabric and Azure data services.
• Strong data governance, modeling, and cloud-native design.
• Proven ability to build end‑to‑end data solutions for reporting.

Responsibilities

• Design and implement core components of enterprise data architecture.
• Build ingestion and transformation pipelines across SaaS sources.
• Develop enterprise data models to support reporting and operations.
• Enable analytics with Power BI, Dataverse, and self‑service reporting.
• Ensure governance, security, and data quality across platforms.

Skills

Hands-on data architecture

Cloud data solutions

SQL proficiency

Analytics mindset

Education

Bachelor's degree in Computer Science, Data Engineering, Business Administration, or related field

Tools

Microsoft Fabric

Power BI

Power Platform / Dataverse

Databricks

Python

Snowflake

Synapse

REST APIs

JSON

CSV

Excel

Databases

SaaS exports

Job description

United Utility Services, LLC is seeking a hands-on Data Architect to design, build, and operationalize an enterprise data platform. This 100% cloud, Microsoft‑centric role unifies data sources using Azure, Fabric, Power Platform, and Dataverse to enable governed analytics and AI initiatives.

Responsibilities include building pipelines, modeling data, and delivering self‑service reporting with Power BI, Dataverse, and related tools.