Analyst - Data Center Operations

Overview

Position: Analyst - Data Center Operations

(2 to 5 years of experience in Data Analysis)

Type: Full Time Employee (FTE)

Wipfli is building a Data Operations Center (DOC) within its Enterprise Data & Analytics organization to provide continuous, enterprise-wide monitoring and incident resolution for our data pipeline ecosystem. This critical function ensures the integrity, availability, and reliability of data that thousands of professionals across the firm depend on every day.

Wipfli seeks a skilled offshore Data Operations Center Analyst to monitor, triage, and communicate the resolution of data pipeline incidents across the enterprise. This role is the data equivalent of a Security Operations Center (SOC) or Network Operations Center (NOC) analyst, owning day-to-day operation of our Pantomath observability platform to detect issues early, drive them to root cause, and keep the business informed throughout resolution.

Technology skills, Competencies and Experience:

Incident Monitoring & Response

Continuously monitor the Pantomath Operation Center dashboard for pipeline failures, stale or missing data, and anomalies across the enterprise data stack

Perform first-line triage using Pantomath’s automated root-cause analysis and cross-platform lineage tracing to identify affected pipelines and downstream impact

Classify and prioritize incidents by business severity and follow defined escalation playbooks

Drive incidents from detection through resolution, escalating to engineering or platform teams when root cause requires deeper remediation

Role and Responsibilities:

Pantomath Platform Administration

Administer and maintain the Pantomath platform, including monitor configuration, alert thresholds, connectors, and lineage coverage

Onboard new pipelines and data sources into observability coverage as the data estate grows

Tune monitors and reduce alert noise by refining thresholds based on historical incident patterns

Maintain platform health, user access, and integration with upstream and downstream enterprise systems

Technical Skills

Hands-on experience with Pantomath or a comparable data observability platform (Monte Carlo, Bigeye, or similar) strongly preferred

Familiarity with cloud and lakehouse data platforms such as Databricks, Snowflake, Azure, or AWS

Proficiency in SQL for incident investigation and root cause analysis

Working knowledge of data pipeline orchestration tools (Airflow, dbt, Delta Live Tables, or similar)

Experience with incident management and ticketing tools (ServiceNow, Jira, or similar)

Familiarity with ITIL incident management principles and SLA-driven escalation models

Communication & Stakeholder Management

Communicate outage status, root cause, and resolution timelines clearly to business stakeholders and data consumers across the enterprise

Draft and distribute incident notifications and status updates through approved communication channels

Maintain incident logs and root cause analysis (RCA) documentation, and contribute to post-incident reviews

Hand off open incidents clearly across shift boundaries to ensure continuity of coverage

Qualifications:

Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field, or equivalent practical experience

2–5 years of experience in data engineering, data operations, IT operations, or a related technical support role

Demonstrated experience monitoring and triaging incidents in a production data or IT environment

Understanding of data pipeline concepts, including ETL/ELT processes, data lineage, and data quality

Strong written and verbal communication skills, with the ability to translate technical incidents into clear business-facing updates

Comfort working in a shift-based or extended-hours coverage model aligned to U.S. business hours

Nice to have:

Experience in professional services, accounting, audit, tax, or advisory environments

Prior experience in a Network Operations Center (NOC), Security Operations Center (SOC), or data operations center

Familiarity with data governance and data quality frameworks

Experience supporting offshore or globally distributed delivery teams

Exposure to AI/ML pipeline monitoring or RAG system observability

Working Model and Expectation:

Shift coverage aligned to U.S. business hours, with rotation to extend the monitoring window as the DOC matures

Adherence to defined incident severity matrices and communication service-level agreements

Active participation in shift handoff, daily DOC stand-up, and weekly RCA review

Use of approved monitoring and ticketing tools only; no unauthorized integrations

Participation in on-call rotation as DOC coverage expands

No. of positions: 02

Work location: Wipfli India, Bengaluru or Pune or Hyderabad.