Information Technology Application Support

Position Summary:

We are seeking an Application Support Specialist to support and operate our enterprise data platforms in a production environment. This role is responsible for incident triage and resolution, production deployments, and day-to-day operational support across our data warehouse, lake-house, and analytics tools. The ideal candidate is technically strong, operationally disciplined, and thrives in fast-paced, production-critical environments.

Key Responsibilities:
• Provide Tier II and Tier III production support for enterprise data platforms, including SQL Server-based EDW, Databricks, Fivetran, Tableau, and Alteryx.
• Monitor data production environments and triage, troubleshoot, and resolve incidents to meet SLAs and minimize business impact.
• Execute and coordinate production deployments for Data and AI Engineering, including code and configuration promotions, following established change management and CAB processes.
• Perform root cause analysis (RCA) for incidents and partner with data engineers to drive permanent remediation.
• Support and repair data ingestion and processing pipelines, including job restarts, re-runs, and connector remediation.
• Troubleshoot data availability, data quality, and performance issues impacting reporting and analytics.
• Own incident communications, including stakeholder updates, outage notifications, and post-incident summaries.
• Maintain and improve runbooks, SOPs, and operational documentation for common production scenarios.
• Identify incident trends and recommend monitoring, alerting, and operational improvements.
• Collaborate with data engineers, BI teams, DBAs, and business partners to ensure platform stability and reliability.

Required Qualifications:
• 3+ years of experience in application or production support for data platforms or enterprise systems.
• Strong SQL skills, including querying and troubleshooting in SQL Server or similar relational databases.
• Hands-on experience supporting Databricks or comparable data processing platforms in production.
• Experience with data ingestion/ELT tools, including Fivetran, Databricks Lakeflow connect, Flat file ingestion via SFTP processes.
• Experience supporting analytics and visualization tools such as Tableau and/or Alteryx.
• Familiarity with incident management tools (e.g.; ServiceNow) and ITIL-style support processes.
• Experience with production change management, deployments, and release coordinators.
• Strong troubleshooting skills across data pipelines, applications, and system integrations.