Data Operations Administrator III

Exeter Finance LLC

Irving (TX)

Hybrid

USD 90,000 - 120,000

Full time

26 hours ago
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Job summary

Exeter Finance LLC is seeking a Data Operations Administrator III. The role ensures high availability of enterprise job scheduling platforms, monitors workflows, and resolves incidents in collaboration with developers, operations, and project managers.

Strong background in data operations, ETL tooling, and governance is required, along with hands-on scripting in Python, SQL, and Bash. This hybrid position requires in-office collaboration twice monthly in Irving, TX.

Qualifications

  • Bachelor’s degree or educational experience in related field preferred, or relevant work experience.
  • 4-6 years experience with Enterprise Job Scheduling/Orchestration solutions (ActiveBatch, Control-M, Autosys, etc.).
  • 4-6 years working with cross-functional teams and managing large-scale projects.
  • Extensive experience in data operations management, including data pipeline design, data integration, and managing large-scale data environments.
  • Advanced knowledge of database systems (SQL, NoSQL), data warehousing, and cloud data platforms (AWS, Azure, GCP).
  • Expertise in ETL tools (Talend, Informatica, NiFi) and optimizing data workflows.
  • Strong experience with data governance, data security, and compliance (GDPR, HIPAA).
  • Proficiency in scripting and automation (Python, SQL, Bash).
  • Proven ability to lead and manage complex data operations projects.

Responsibilities

  • Design and maintain the enterprise job scheduling environment for multiple applications and high availability.
  • Monitor workflows, diagnose failures, and resolve incidents with users, teams, and vendors.
  • Administer job scheduling tools and follow standardized procedures and SLAs.
  • Manage file transfer and encryption processes and validate file movement.
  • Participate in a 24/7 on-call rotation for after-hours support.
  • Perform ad hoc data tasks such as research, file manipulation, and process review.
  • Collaborate with developers, operations, and project managers to improve scheduling solutions.
  • Maintain IT risk, incident, problem, and change controls and document via ticketing system.

Skills

Data operations
Cross-functional teamwork
Troubleshooting
Leadership
Mentoring
Communication
Analytical skills
Python
SQL
Bash

Education

Bachelor’s degree or related field preferred

Tools

ActiveBatch
Control-M
Autosys
ETL tools
Talend
Informatica
Apache NiFi

Job description

This position is hybrid and will be required to be in office two times per month for collaboration working sessions.

The Data Operations Administrator III delivers high availability enterprise job scheduling solutions by proactively monitoring and administering scheduling platforms to ensure consistent system performance. Maintains operational stability through timely resolution of planned and unplanned job failures and partnership with cross-functional technical teams. Enhances scheduling reliability by applying technical expertise, optimizing processes, and supporting operational objectives.

Job Duties
  • Design, implement, and maintain the enterprise job scheduling environment to support multiple applications and ensure high system availability.
  • Monitor scheduling workflows, diagnose failures, and resolve incidents by partnering with users, internal teams, and vendors to identify root causes and restore functionality.
  • Administer job scheduling tools and follow standardized procedures—ensuring adherence to project methodologies, operational processes, and service-level commitments.
  • Manage file transfer and encryption processes, including troubleshooting and validating file movement across systems.
  • Participate in a 24/7 on-call rotation, providing after-hours support to meet operational availability requirements and quickly address system failures.
  • Perform data-related ad hoc tasks such as research, file manipulation, and process review to support business needs.
  • Collaborate with application developers, operations, and project managers to build scalable, maintainable scheduling solutions and continuously improve performance.
  • Maintain compliance with IT Risk, Incident, Problem, and Change Management controls and ensure consistent documentation and tracking through the ticketing system.
Education and Experience
  • Bachelor’s degree or educational experience in related field preferred, or relevant work experience.
  • 4-6 years experience with Enterprise Job Scheduling/Orchestration solutions, such as ActiveBatch, Control-M, Autosys, etc.
  • 4-6 years of experience working with cross-functional teams and managing large-scale project budgets, timelines, and resources.
  • Extensive experience in data operations management, including data pipeline design, data integration, and managing large-scale data environments.
  • Advanced knowledge of database systems (SQL, NoSQL), data warehousing solutions, and cloud data platforms (AWS, Azure, GCP).
  • Expertise in ETL tools and platforms (e.g., Talend, Informatica, Apache Nifi) and experience optimizing their use for large-scale data workflows.
  • Strong experience with data governance, data security, and compliance standards such as GDPR, HIPAA, and other relevant regulations.
  • Proficiency in scripting and automation tools (e.g., Python, SQL, Bash) to streamline data operations and improve efficiency.
  • Proven ability to lead and manage complex data operations projects, working collaboratively with technical teams and business units to achieve objectives.
  • Strong troubleshooting and problem-solving skills, with the ability to resolve complex data-related issues and implement sustainable solutions.
  • Strong leadership abilities, including mentoring and guiding junior staff and fostering a collaborative and efficient work environment.
  • Excellent communication skills, with the ability to communicate effectively with both technical and non-technical stakeholders at all levels of the organization.
  • Strong analytical skills with the ability to assess system performance, identify areas for improvement, and optimize data operations.
Exeter Finance LLC is an Equal Opportunity Employer.

Individual compensation packages are based on various factors unique to each candidate including skill set, experience, qualifications and other job-related reasons.

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