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Systems Operations Manager – Data Platforms - Teradata & Hadoop

United States, Charlotte · Job Posted June 03, 2026
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Job Description

Wells Fargo is seeking a Systems Operations Manager to lead the end-to-end support and operations of enterprise Teradata and Hadoop data platforms powering large-scale analytics and business decisioning. This role is accountable for platform stability, reliability, and operational excellence across a complex, multi-tenant ecosystem supporting 100+ tenants. The manager will lead a 24x7 operations team, apply Site Reliability Engineering (SRE) principles, and drive automation-led transformation to ensure predictable, resilient service delivery at scale. This is a hands-on leadership role requiring strong execution discipline, ownership, and the ability to operate in a high-risk, regulated environment, ensuring SLA adherence, compliance, and business continuity outcomes.

Job Responsibility

  • Operational Leadership & Platform Ownership
  • Site Reliability Engineering (SRE) & Automation
  • Operational Excellence & Service Performance
  • Governance, Risk & Compliance
  • Multi-Tenant Platform Operations
  • Stakeholder Engagement & Execution Alignment
  • People Leadership & Talent Development
  • Resiliency & Business Continuity

Requirements

  • 5+ years of Systems Engineering, and Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 2+ years of Leadership experience
  • Hands-on experience with: Teradata and Hadoop platforms
  • Distributed systems and data platform operations
  • Incident, problem, and change management processes

Nice to have

  • Experience supporting enterprise-scale Teradata and Hadoop platforms
  • Demonstrated leadership in 24x7 production support and SRE environments
  • Strong experience in: Automation, AIOps, and operational transformation
  • DevSecOps and CI/CD practices
  • Observability, monitoring, and platform telemetry
  • Familiarity with Kubernetes, containerization, and cloud-native architectures
  • Strong understanding of: Multi-tenant data platforms and workload management
  • Regulatory, audit, and risk-controlled environments

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