Enterprise Architect

About the role

Core Scientific is a leading provider of infrastructure for high-performance compute in North America. Our mission is to accelerate digital innovation by scaling high-value compute rapidly, efficiently, and responsibly. We transform energy into high-value compute with unmatched efficiency at scale. The company is an $11 billion publicly traded company (NASDAQ: CORZ). We power AI, HPC, and other next-generation data center workloads demanding exceptional computing power, in addition to our digital asset mining operations. Our footprint consists of 11 data center campuses across seven states, housing advanced infrastructure for our customers. What sets us apart? We have an entrepreneurial culture, a "can-do" and collaborative attitude, and we own and control our infrastructure. These strategic advantages enable us to maintain operational excellence, increase efficiency, and rapidly deploy cutting-edge innovations developed by our team of experts. Join us and accelerate your career alongside our groundbreaking journey. We seek smart, creative, and collaborative professionals who thrive in a fast-paced, result-driven environment. Ready to be part of something exceptional? Apply today and make an impact at Core Scientific. Title Enterprise Architect Reports To Chief Technology Officer The Job As organizations scale, digital systems outpace the assumptions that shaped them. Permissions accumulate, automation compounds, reconciliation logic ages, and integrations drift until policy and documentation alone can no longer ensure that system behavior reflects operational, financial, and revenue-generating reality. We are seeking an Enterprise Architect within the Technology organization to ensure that enterprise systems operate with durable precision as complexity increases. The mandate is dual: contain structural risk and harden the enterprise into a disciplined, programmatic system that accelerates revenue, efficiency, and enterprise value. Reporting to the Chief Technology Officer and operating across engineering, data, finance, and operations, this role carries executive sponsorship aligned with CEO directive to strengthen institutional precision so that technology compounds advantage rather than complexity. Digital systems define operational truth and revenue execution. When architecture diverges from real-world behavior, inefficiency compounds quietly, throughput slows, reporting distorts, and value erodes. This role engineers durability directly into system design-strengthening control architecture, validating behavior, eliminating operational debt, and maintaining disciplined access models so efficiency becomes structural rather than dependent on vigilance. Success is measured by increasing precision at scale. Systems align with operational and financial reality without constant intervention, weaknesses are surfaced before they compound, automation reinforces accountability rather than obscuring it, and improvements in control architecture translate into faster decision velocity, cleaner financial signal, reduced workflow friction, and measurable performance gains. Hardening removes fragility without introducing bureaucracy; precision increases speed. This is not a compliance or audit function. It is a high-trust, senior individual contributor role embedded within live enterprise systems with direct access to the CTO and visibility aligned with CEO mandate.

Responsibilities

• Investigate enterprise systems to ensure that digital workflows reflect operational, financial, and revenue-generating reality.
• Map control surfaces across ERP, CRM, data pipelines, automation frameworks, APIs, and integrations, identifying structural weaknesses or inefficiencies.
• Analyze reconciliation logic embedded within tooling and validate that assumptions remain sound under current scale and transaction velocity.
• Detect privilege creep, access model drift, override frequency, structural permission risk, and hidden inefficiencies embedded in nuisance technology.
• Examine automation layers for masked control failures, redundant workflows, and process friction that suppress throughput.
• Redesign or reinforce enterprise control frameworks where necessary, strengthening architecture without introducing bureaucratic drag.
• Use structured data analysis, scripting, and AI-accelerated investigative workflows to surface anomalies, quantify exposure, and model performance impact.
• Translate technical findings into executive-level analysis that connects control integrity to margin protection, decision velocity, and revenue acceleration.
• Partner with engineering and operations leaders to eliminate structural inefficiencies and convert fragile workflows into hardened programs.
• Strengthen traceability, documentation, and institutional memory so that system durability scales with growth.
• Foster open, respectful, and professional communication directly within the team as well as with co-workers/ teammates and leaders

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at corescientific? Share your experience