Director of Data Services

Title: Director of Data Architecture

Duration: Perm

Location: New Orleans, LA

Required Skills & Experience:

• 8 years of experience in data architecture, data engineering, or enterprise data modeling

• Proven utilities industry experience

• Hands-on experience with Oracle Energy & Water platforms, including:

o CCS / CC&B

o OFS

o WACS

• Experience integrating ERP and PPM data into enterprise analytical platforms

• Strong expertise in dimensional modeling and enterprise data warehouse design

• Hands-on experience with Microsoft Fabric, including:

o Lakehouse

o Warehouse

o Data Factory

o OneLake

o Power BI semantic models

• Advanced SQL and data transformation skills

• Demonstrated ability to lead architecture decisions while remaining deeply technical

Nice to Have Skills & Experience:

• Experience with Delta Lake and medallion architecture (Bronze / Silver / Gold)

• Azure data platform experience

• Power BI architecture and performance optimization experience

• Experience implementing data governance, data quality, and metadata management frameworks

• Familiarity with AI assisted data development and analytics workflows

Job Description:

We are seeking a highly technical, hands-on Director of Data Architecture to lead the design, implementation, and evolution of its enterprise data platform. This role will serve as the senior technical authority for data architecture, modeling, and analytics, with a strong focus on Oracle Energy & Water platforms and Microsoft Fabric.

This position is intentionally technical and delivery-oriented. The successful candidate will design data models, build architectures, write SQL, and leverage modern tooling (including AI-assisted development) to accelerate delivery. The role is ideal for a senior data architect or technical data lead who thrives in complex, regulated utility environments and wants to directly shape the organization’s future data capabilities.

Key Responsibilities:

Enterprise Data Architecture

• Design and own enterprise data architecture using Microsoft Fabric, including Lakehouse, Warehouse, OneLake, and Power BI semantic models

• Lead architecture decisions supporting analytics, reporting, and advanced insights across the utility

• Define and enforce data architecture standards, best practices, and governance frameworks

Data Modeling & Analytics Enablement

• Develop conceptual, logical, and physical data models aligned with utility business domains

• Design dimensional models, star schemas, and conformed dimensions optimized for analytics

• Build data models specifically structured for Power BI and Fabric analytics consumption

Data Integration & Engineering

• Architect and oversee ingestion and transformation pipelines using Fabric Data Factory, Spark, and notebooks

• Integrate data from core enterprise and operational systems, including:

o Oracle Customer Care & Billing (CCS / CC&B)

o Oracle Field Service (OFS)

o Oracle Work and Asset Cloud Service (WACS)

o ERP systems

o PPM platforms

• Ensure scalable, reliable data pipelines that support both operational and analytical use cases

Utilities Data Domain Leadership

• Translate complex utility data (billing, customer service, field operations, asset management, project delivery) into scalable analytical models

• Enable analytics supporting revenue, operations, performance, reliability, and asset insights

• Serve as a subject-matter expert on utility enterprise data architecture

Modernization & Technical Leadership

• Lead the transition from consultant dependent delivery to a modern, internally owned data platform

• Leverage AI-assisted development tools (e.g., Copilot, ChatGPT, Claude) to accelerate modeling, documentation, and prototyping

• Collaborate with executive leadership and business partners to define and prioritize the data roadmap

• Produce and maintain robust data documentation, including data dictionaries, lineage diagrams, and architectural blueprints

Compensation:

$200,000 - $220,000 per year annual salary.

Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.