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.