Jobs at Utility Warehouse

Build and lead enterprise-wide data governance from the ground up across regulated utility service lines. Responsibilities include defining governance strategy and stewardship models, establishing data quality frameworks, selecting and implementing governance tooling, managing metadata, glossaries and lineage, developing privacy and retention controls, extending governance to AI and ML, and driving adoption through stakeholder engagement, training and change management.

Lead three teams responsible for UW’s enterprise data platform, including infrastructure, data engineering, and DataSecOps. Own the GCP lakehouse migration, platform strategy, reliability, security, compliance, FinOps, AI enablement, semantic data layers, and governed data sharing. Provide hands-on technical leadership through architecture, coding, incident response, and engineering standards while managing managers, hiring, budgets, roadmaps, vendors, and executive stakeholder relationships.

Own the technical architecture, governance, resilience, and operational performance of Utility Warehouse’s CRM and Partner Marketing technology stack. Lead strategic lifecycle and onboarding projects, integrate real-time triggers, design automated QA and error handling, translate marketing needs into technical specifications and SQL logic, and partner with engineering, product, data, and senior leadership teams.

Leads engineering for operational systems, including customer journeys, billing, payments, collections, and customer services. Owns technical strategy, architecture, AI agentic services, delivery standards, SLOs, budgets, and team development. Partners with the CTO and cross-functional leaders to align technology roadmaps with business priorities while ensuring resilient, high-performing systems and sustainable engineering practices.

Lead the end-to-end architecture of UW’s enterprise data platform on Google Cloud. Design a modern lakehouse, dimensional and enterprise data models, streaming and CDC pipelines, governance controls, and AI-ready semantic and retrieval layers. Provide hands-on technical leadership through SQL and Python prototyping, architecture decisions, code reviews, engineering standards, and collaboration with platform engineering, data science, governance, and source-system teams.

Engineering Manager responsible for co-leading an autonomous energy-focused squad with a Product Manager. The role owns technical decisions, engineering quality, delivery planning, prioritization, operational excellence, security and SLOs, people management, coaching, hiring, performance reviews, stakeholder communication, and team culture. The manager collaborates cross-functionally with UX and Data, aligns team goals with company strategy, manages risks and budgets, and ensures sustainable delivery and technical improvement.

Leads a squad of engineers by guiding technical decisions, delivery, operational excellence, planning, and engineering standards. Partners with Product Managers to set OKRs, prioritize work, manage risks, and communicate progress. Coaches, develops, and hires engineers while supporting performance reviews and team culture. Collaborates cross-functionally, manages budgets, improves security and service-level objectives, and aligns squad activities with broader company strategy.