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Listing evidence and provenance
- Source
- Workday View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed November 13, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Utilities
- Pay provenance
- Employer-provided pay
Job Description
Connected, Committed, Trustworthy, Safe
Requirements
- Bachelor's degree in technology, science, business or related field, or 4 years of experience equivalent to the position.
- 10 years of related functional experience.
- Architecture acumen across multiple domains including network, infrastructure, software, hosting models, mobile platforms, and security.
- Exposure to diverse systems, technologies and processing environments in a large corporate setting.
- Project solution architecture experience.
- General knowledge of core aspects of enterprise architecture (Software, Hardware, Network, Integration, Data, hosting models, platform types, etc.).
- Strong analytical, problem-solving and troubleshooting skills.
- Extensive knowledge of future technology trends within area of expertise.
- Demonstrated leadership on technical aspects of large scale projects.
- Excellent communication skills, effective with varying organizational levels and skill sets.
- Excellent Relationship Management and collaboration skills, with a track record of working as one team cross-organizationally to drive innovation and business results.
- Demonstrated senior-level experience shaping enterprise data architecture and data product strategy, with a track record of translating a target-state vision into reference architectures, transition roadmaps, and adopted project solutions.
- Deep expertise in conceptual, logical, and physical data modeling; domain boundaries; enterprise business semantics; and designing reusable data assets that remain stable as source systems evolve.
- Experience defining domain-owned, contract-driven data products, including schema, business definitions, ownership and stewardship, quality expectations, freshness, availability, access context, versioning, and lifecycle management.
- Experience establishing repeatable data product onboarding and publication patterns for an enterprise data platform such as XDF, including discovery, metadata, lineage, security, consumer readiness, and operational support expectations. Demonstrated experience applying software-product engineering practices to data products, including version control, automated data and contract testing, continuous integration and delivery, release and rollback strategies, production monitoring, and ongoing maintenance.
- Strong hands-on architecture experience across ingestion, transformation, storage, integration, and consumption, with the ability to evaluate batch, event-driven, and near-real-time approaches and explain trade-offs in performance, resilience, cost, and complexity.
- Demonstrated ability to lead project-level architecture design, document consequential design decisions, assess alternatives, and guide engineering teams from solution definition through implementation while maintaining alignment with enterprise standards.
- Experience defining reusable reference solutions for governed data sharing, analytics, and AI-ready consumption, reducing duplicated pipelines and consumer-specific logic through standardized interfaces and shared semantics.
- Experience embedding data governance, classification, access controls, quality measurement, lineage, and observability into architecture designs in partnership with business owners, data stewards, security, and platform teams.
- Proven ability to influence business and technology leaders without direct authority, facilitate cross-domain design decisions, mentor architects and engineers, and communicate architectural trade-offs and modernization priorities to executive and technical audiences.
- Our culture is grounded in shared values and employee commitments that guide how we work, support one another, and grow together.
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