Senior Data Architect: AI-Ready Lakehouse Leader

Xcel Energy Inc; Northern, Minneapolis (KY, MN); Hybrid; USD 135,000 - 165,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Pension

Paid time off

Tuition reimbursement

Transit programs

Employee Assistance Program (EAP)

Volunteer PTO

Job summary

Xcel Energy Inc in the United States seeks a Senior Data Architect to advance enterprise data products and XDF adoption, focusing on Databricks Lakehouse, Unity Catalog, AWS and GCP. You will translate business needs into scalable, governance-aligned designs and lead data architecture initiatives across teams.

The role partners with engineering, product, security, and governance to deliver AI-ready, reliable data solutions while upholding reference architectures and standards.

Qualifications

• Bachelor's degree or 4 years of related experience.
• Ten years of related functional experience.
• Architecture acumen across network, infrastructure, software, security.
• Experience with enterprise architecture and IT strategy.
• Strong analytical and communication skills.
• Leadership and mentoring capability.

Responsibilities

• Review and approve projects to ensure architectural compliance.
• Advise delivery teams on data and solution architecture.
• Design data products and AI-ready solutions using XDF and cloud platforms.
• Develop reference architectures and implementation guidance.
• Lead cross-organizational governance of architecture standards.
• Contribute to IT strategy and roadmaps.

Skills

Architectural leadership

Data architecture

Cloud architecture

Stakeholder collaboration

Communication skills

Education

Bachelor's degree or equivalent experience

Tools

Databricks Lakehouse

Unity Catalog

AWS

GCP

APIs

Job description

Xcel Energy Inc in the United States seeks a Senior Data Architect to advance enterprise data products and XDF adoption, focusing on Databricks Lakehouse, Unity Catalog, AWS and GCP. You will translate business needs into scalable, governance-aligned designs and lead data architecture initiatives across teams.

The role partners with engineering, product, security, and governance to deliver AI-ready, reliable data solutions while upholding reference architectures and standards.