Enterprise Data Architect – Customer Data Platform

Job Title:

Enterprise Data Architect – Customer Data Platform

********* This position follows a hybrid work schedule and requires working on-site three (3) days per week and remotely two (2) days per week. **************

We are seeking a Senior Data/Solution Architect to lead the design, governance, and evolution of our Azure Databricks-based Lakehouse platform. This platform serves as the system of record for replicated Customer Information System (CIS) data and integrates numerous secondary applications supporting billing, rates, credit management, front office, payments, service orders, and metering & usage reporting, analytics, data science, and artificial intelligence for a customer base of approximately 4.8 million electric utility customers.

This is a highly visible, cross-functional role at the intersection of enterprise architecture, data engineering, and utility business operations. You will define the technical vision for how CIS data is replicated, transformed, secured, and consumed across the enterprise, while ensuring the platform meets the reliability, auditability, and scalability demands of critical utility infrastructure.

We are seeking an experienced and strategic architect to lead the vision, design, governance, and evolution of our Azure Databricks Lakehouse platform. This role serves as the technical authority for enterprise data architecture, providing leadership across customer business operational data domains that support critical utility business processes. The architect will be responsible for establishing scalable, secure, and resilient architectural patterns that enable trusted data delivery for operational reporting, business intelligence, advanced analytics, regulatory compliance, and data-driven decision‑making.

The successful candidate will own the end-to-end architecture of the Lakehouse ecosystem, including data ingestion, replication, storage, transformation, governance, integration, and consumption. Working closely with enterprise architects, application teams, cybersecurity, and business stakeholders, the architect will design solutions that ensure data quality, lineage, availability, performance, and regulatory compliance while supporting both batch and near‑real‑time business needs. This role will establish standards for data modeling, metadata management, platform operations, and engineering practices, ensuring consistency and interoperability across the enterprise.

In addition to providing architectural leadership and mentoring technical teams, the architect will guide technology strategy, platform roadmaps, cost optimization, and continuous improvement initiatives. Through strong collaboration and governance, this role will enable a trusted, highly available, and cost‑effective data platform that accelerates business value, supports customer and revenue operations, and positions the organization for long‑term success in data management, reporting, analytics, data science, and artificial intelligence.

• Own the end-to-end architecture and strategic direction of the Azure Databricks Lakehouse platform, including data ingestion, storage, processing, governance, and consumption frameworks.
• Define and maintain enterprise architecture standards for the Lakehouse, including medallion (Bronze/Silver/Gold; Landing/Raw/Curated/Aggregated) design patterns, Delta Lake implementation, data modeling, metadata management, and platform scalability.
• Architect and oversee near‑real‑time and batch replication of Customer Information System (CIS) data into the Lakehouse, ensuring data accuracy, integrity, availability, and compliance with defined service level objectives.
• Design and govern integration patterns supporting downstream operational, analytical, and regulatory applications, enabling secure and reliable consumption of customer, billing, metering, and premise data.
• Serve as the final architectural approval authority for platform standards, design patterns, data integration approaches, and technology selection decisions within the Customer Data Platform ecosystem.
• Partner with data science, analytics, and business teams to…