Senior Data Architect

Xcel Energy

414 Nicollet Mall, United States

Full Time

Posted October 8, 2026

$135k - $165k

Utilities

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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 October 9, 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.
Ten 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 experience designing and delivering enterprise data products and advancing adoption of an enterprise data fabric or data product operating model.
Hands-on architecture experience with Databricks Lakehouse and Unity Catalog, including governed data access, cataloging, lineage, security, and data-sharing patterns.
Experience architecting cloud-native data solutions on AWS and GCP, including cross-platform interoperability and governed data movement or sharing.
Experience designing integration solutions using APIs, events, streaming, batch, and approved data-sharing patterns, with clear attention to source of truth, latency, freshness, resiliency, and long-term supportability.
Experience creating AI-ready data architectures and AI solutions, including retrieval-augmented generation, vector search, semantic layers, agentic solutions, governed model access patterns, and responsible AI controls.
Ability to produce high-quality solution designs, data-flow diagrams, architecture decision records, interface specifications, reference architectures, and implementation patterns.
Hands-on experience developing technical prototypes or proofs of concept in Databricks, AWS, or GCP to validate architecture decisions and reduce delivery risk.
Working knowledge of data modeling, metadata management, lineage, data quality, master data, and reference data practices.
Experience with security, privacy, identity and access management, observability, operational support, and governance requirements across the full data lifecycle.
Demonstrated ability to provide technical leadership, coaching, and mentoring to architects and engineers without direct management authority.
Utility industry experience, including experience with SAP utility data, operational technology data, meter data, customer data, or regulated data environments.
Our culture is grounded in shared values and employee commitments that guide how we work, support one another, and grow together.