Requisition ID # 174026
Job Category: Information Technology
Job Level: Manager/Principal
Business Unit: Technology & Security
Work Type: Hybrid
Job Location: Oakland
Position SummaryEnterprise 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
