Enterprise Architect

Who We Are

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 a $5 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. We own and operate nine data centers in 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.

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 the 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 the 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 across the organization.
• Perform other duties as assigned.

Qualifications

We are intentionally open to unconventional backgrounds. Exceptional candidates may have experience as:

• A senior technical leader responsible for building and hardening systems under pressure.
• A systems engineer or platform architect who has diagnosed and repaired structural fragility.
• A forensic or investigative professional with strong technical depth.
• A security or controls engineer with enterprise exposure.
• A senior operator who has eliminated operational debt while scaling performance.

You are likely a solution‑oriented operator who derives energy from untangling nuisance technology, cleaning up degraded workflows, and eliminating inefficiencies that others tolerate.

• Think in systems and control surfaces rather than isolated incidents.
• Understand that structural failure often begins as unmanaged drift.
• Recognize operational debt embedded in tooling and process before it becomes material loss.
• Are materially focused and capable of distinguishing signal from noise.
• Remain calm and precise in ambiguous environments.
• Are comfortable operating without formal signature authority.
• Can interrogate systems without destabilizing trust.
• Thrive on turning fragility into engineered durability.
• Prefer building hardened programs over writing policies.

AI proficiency is foundational in this role. You are expected to use AI as a primary analytical engine, a bridging mechanism between systems, and a general‑purpose accelerator for investigation, modeling, and solution design. This includes building repeatable AI‑assisted workflows that combine data extraction, anomaly detection, hypothesis testing, and structured reporting.

• Querying structured data using SQL or similar tools.
• Writing lightweight scripts in languages such as Python to validate assumptions and test system behavior.
• Navigating APIs, integration layers, automation frameworks, and permission hierarchies.
• Using AI to synthesize findings, stress‑test logic, generate diagnostic artifacts, and accelerate technical validation.
• Distinguishing between superficial AI usage and disciplined, reproducible AI‑driven system interrogation.

You do not need to be a full‑time software engineer. However, you must be technically literate enough to move beyond dashboards and into underlying system logic, and disciplined enough to operationalize AI into repeatable investigative infrastructure.

Location

Austin, TX or Miami, FL. While proximity to our core offices is preferred, we prioritize capability and alignment with mandate and will consider remote candidates where appropriate.

Travel

Occasional travel will be required up to 25%.

Work Environment

This job typically operates in a professional office environment and routinely utilizes standard equipment, including laptop computers and smartphones. This role will also travel to data center sites and the work environment at a data center may contain loud noise, construction and other operational elements.

Physical Demands

While performing the duties of this job, the employee is frequently required to sit, stand, walk, use hands, and lift up to 25 pounds.

Position Type / Expected Hours of Work

This is a full‑time position. General hours and days of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. Some nights and weekends may be required.

Supervisory Experience

No