Enterprise Architect, Principal - Data Platform & Analytics

Description

Requisition ID # 174026  Job Category: Information Technology  Job Level: Manager/Principal Business Unit: Technology & Security Work Type: Hybrid Job Location: Oakland     Department Overview Information Systems Technology Services is a unified organization comprised of various departments which collaborate effectively in order to deliver high quality technology solutions. Position Summary   Enterprise Strategy & Architecture (ES&A) is a centralized architecture organization within the Information Technology department. ES&A supports the company’s safety, reliability, affordability, and regulatory objectives by providing clear architectural direction, disciplined governance, and practical guidance that accelerates delivery while reducing risk and complexity.  Reporting to the Sr. Manager, Technology Architecture, this Enterprise Architect role focuses on Data Platform & Analytics. It defines target architectures, standards, roadmaps, and reusable patterns for modern data platforms that support enterprise-scale operational, analytical, self-service, and AI-driven use cases.  The successful candidate is a systems‑level thinker and master planner who translates enterprise strategy into living target architectures, prioritized roadmaps, and reusable patterns, working early and continuously with delivery and operations teams to ensure solutions are aligned, secure, and executable. Architects in this role are expected to focus on enabling outcomes and delivery.  PG&E is providing the full salary/pay range for this position.   The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity,   specific skills, education, licenses or certifications, experience, market value, and geographic location.   The range to reasonably expect will be around the minimum and the midpoint   $155,000 - $210,000.   The   final decision will be made on a case-by-case basis related to the factors above.   This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.     Bay Area Min: $ 155,000  Bay Area Max: $ 265,000  This position is hybrid, working from your remote office and 1-2 days per week at our Oakland Headquarters based on business need. The assigned work location will be within the PG&E Service Territory.     Key Responsibilities   Architecture Vision & Direction  Define and evolve target architecture for Data Platform & Analytics platform and shared services, providing a clear north star that guides investment, design, and modernization decisions  Translate enterprise and IT strategy into capability‑based roadmaps, identifying maturity gaps, dependencies, and sequencing required to move from current to target state  Own architecture outcomes across a portfolio of foundational platforms, ensuring alignment from strategy through implementation and operations  Data Platform & Analytics Scope  Define and govern enterprise data platform and lakehouse architecture, including ingestion, transformation, storage, serving, consumption, and data product patterns across batch, streaming, operational, analytical, and AI-driven use cases.  Architect end-to-end data pipelines, including ingestion, transformation, orchestration, quality controls, metadata capture, lineage, serving layers, and reusable data movement patterns.  Design analytics and data consumption architecture, including BI, semantic layers, data access patterns, reusable datasets, domain-oriented data products, and self-service analytics enablement.  Architect AI/ML data readiness patterns, including feature stores, training datasets, model data pipelines, governed data access, and reusable platform capabilities for AI and advanced analytics.  Define data platform performance, scalability, security, governance, and cost optimization patterns across storage formats, compute patterns, access controls, workload management, and consumption layers.  Delivery Enablement & Governance  Engage early in planning and solution shaping, helping teams align on architecture direction, integration patterns, and non‑functional requirements before major commitments are made  Enable delivery teams through reusable architecture patterns, standards, reference architectures, and decision frameworks  Support architecture reviews and working sessions to surface risks, manage dependencies, and validate solution direction  Guide teams when deviations are required, managing trade‑offs and technical debt while maintaining enterprise coherence  Ensure architecture standards are current, practical, and consistently applied, focusing on reuse and simplification  Portfolio, Planning & Optimization  Support IT strategic planning, modernization, and platform consolidation efforts  Coordinate roadmaps across infrastructure, security, application, data, and operations teams to manage interdependencies and conflicts  Lead or support vendor evaluations, platform selections, and RFP activities  Contribute to technology rationalization by reducing redundancy and improving platform consistency  Collaboration & Leadership  Partner closely with business and IT leaders to align architecture with operational realities and strategic priorities  Collaborate across architecture disciplines to ensure enterprise‑wide consistency and integration  Coach and mentor engineers and architects, promoting strong architectural discipline and shared accountability  Use metrics and feedback loops to monitor progress, measure adherence to target architecture, and continuously improve architecture practices  Qualifications   Minimum: BA/BS in Computer Science, Engineering, Business, or related field, or equivalent experience  10+ years of experience in enterprise data & analytics platforms, cloud, or solution architecture Desired: Master’s degree in a related field  Experience designing or governing modern data platforms, lakehouse architectures, data pipelines, analytics consumption layers, data products, streaming, or AI-ready data capabilities  Strong understanding of data engineering, analytical platforms, metadata, lineage, quality, governed access, data security, performance optimization, and enterprise-scale platform modernization  Experience translating strategy into target architectures, standards, roadmaps, reusable patterns, and practical delivery guidance  Experience writing code and modern software delivery practices, including automated testing, CI/CD, code quality, and performance engineering  Experience with AI/ML data readiness, feature stores, training datasets, model data pipelines, data products, and governed data access for advanced analytics and AI use cases  Experience supporting vendor evaluations, platform selections, technology rationalization, data tooling consolidation, and data platform modernization  Strong understanding of capability mapping, roadmap development, architecture governance, embedded data governance, and practical delivery enablement  Experience operating in regulated, high‑reliability, or security‑sensitive environments  Excellent communication and facilitation skills, with the ability to influence senior leaders  Architecture certification such as TOGAF or equivalent practical experience