SR. Data Architect

Welcome to United Utility Services, a dynamic player in the electric utility industry. As a trailblazer, we provide comprehensive and innovative offerings that bolster power infrastructure investments across the U.S. We proudly serve as the parent company to industry‑leading utility service contractors specializing in transmission, substation, distribution, and grid hardening projects. Our Core Values are Safety, Quality, Integrity, and Professionalism. At United Utility Services, we craft power delivery solutions – built safe, engineered smart, and driven by what customers demand – fueling communities with reliable energy. We are the best‑in‑class, trusted partner delivering customer‑centric Power Delivery Construction and Engineering solutions.

About The Role

We are seeking a hands‑on Data Architect to personally design, build, and operationalize our enterprise data platform. This is an individual‑contributor role for someone who can define strategy and execute it directly in a lean environment. Our organization is 100% cloud‑based and Microsoft‑centric, operating across a diverse portfolio of vendor‑hosted applications. This role will unify those disparate data sources using Azure, Microsoft Fabric, Power Platform, Dataverse, and Azure SQL, laying the foundation for governed analytics, self‑service reporting, and future AI initiatives. Strong candidates will have a practical mix of data engineering, analytics, and business application experience, with comfort working across both Microsoft/Azure tools and other modern data platforms. This position is ideal for a pragmatic architect who prefers owning outcomes end‑to‑end, rather than operating only at the conceptual or oversight level.

Key Responsibilities

Hands‑On Architecture & Delivery

• Design and personally implement core components of the enterprise data architecture using Microsoft Fabric (Lakehouse, Warehouse, OneLake) and Azure data services.
• Build and maintain data ingestion and transformation pipelines, integrating data from multiple SaaS and vendor‑hosted systems.
• Develop enterprise data models (conceptual, logical, physical) that directly support reporting and operational use cases.
• Enable analytics, build reports, and self‑service reporting through Power BI, Power Platform, and Dataverse.
• Strong SQL skills, including data modeling, transformations, query optimization, and troubleshooting.
• Experience building reliable data pipelines using Python, APIs, cloud storage, and modern data integration tools.
• Familiarity with cloud data platforms such as Snowflake, Databricks, Azure SQL / Synapse / Fabric, BigQuery, Redshift, or similar environments.
• Experience working with structured and semi‑structured data sources, including REST APIs, JSON, CSV, Excel, databases, and SaaS exports.
• Familiarity with data transformation, orchestration, and integration tools such as dbt, Airbyte, Fivetran, Dagster, Airflow, GitHub Actions, or similar platforms.
• Experience with Git‑based development workflows and basic software engineering practices.
• Interest in AI‑enabled analytics, automation, and internal tools, including practical use of AI coding assistants and LLM‑based workflows.

Reporting & Analytics Enablement

• Experience with business intelligence and reporting tools, especially Power BI, including data modeling, Power Query, DAX, dashboard development, and report performance tuning.
• Working familiarity with the Microsoft Power Platform, including Power Apps, Power Automate, and Dataverse.
• Design and implement analytics‑ready data models specifically optimized for reporting and performance.
• Build and maintain Power BI datasets, semantic models, and shared data sources that support:
• Operational reporting
• Financial and performance reporting
• Executive dashboards
• Ensure reports are sourced from governed, consistent datasets, reducing duplication and conflicting metrics.
• Partner directly with business users and analysts to understand reporting requirements and translate them into data models and reusable datasets.
• Improve report performance, reliability, and refresh stability through proper modeling, aggregation strategies, and Fabric/Azure SQL optimization.

Enterprise Data Strategy

• Define a practical, phased enterprise data strategy and roadmap aligned to business priorities.
• Establish architectural standards that balance scalability, cost, and usability.
• Translate business and operational needs into actionable data solutions—not just diagrams.

Data Governance & Quality

• Personally implement data governance practices, including:
• Data ownership and stewardship models
• Data quality rules and monitoring
• Metadata, documentation, and lineage standards
• Ensure data platforms meet security, access control, and compliance requirements in coordination with IT security.

Collaboration & Influence

• Partner closely with IT, Finance, Operations, and business leaders to ensure data solutions are usable and trusted.
• Act as the technical authority on enterprise data decisions.
• Provide light mentorship and guidance as data practices mature.

This Role Is

• Hands‑on
• Architect + builder
• Individual contributor
• Outcome‑driven in a lean IT organization

This Role Is Not

• A pure governance or policy role
• A BI‑only or reporting developer role
• A role dependent on a large data engineering team

Required Qualifications

• 7+ years in data architecture, data engineering, or analytics architecture roles.
• Strong hands‑on experience with:
• Microsoft Fabric
• Microsoft Excel
• Azure SQL
• Power BI
• Power Platform / Dataverse
• Databricks
• Python
• Snowflake
• Synapse
• REST APIs
• JSON
• CSV
• Excel
• databases, and
• SaaS exports
• Experience integrating data across multiple SaaS/vendor platforms.
• Proven ability to design and build cloud‑native data architectures.
• Solid understanding of data governance implemented in real environments (not just frameworks).

Preferred

• Experience with Microsoft Purview or similar governance tooling.
• Azure or Fabric certifications.
• Experience establishing data foundations in cloud‑only organizations.
• Bachelor's degree in computer science, Data Engineering, Business Administration, or a related field.

We do not accept unsolicited resumes or candidate submissions from third‑party recruiters or staffing firms. Resumes submitted without a signed, written agreement with the Company and outside the approved HR/Recruiter process will not be reviewed or considered, and the Company will not be responsible for any associated fees.

Accessibility: If you need an accommodation as part of the employment process, please contact View email address on click.appcast.io.

Equal Opportunity Employer is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.