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anblicks

Posted 25 Aug 2026

Senior Support Engineer

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Employment
Full time
Team
Data Analytics
Posted
25 Aug 2026

About the role

Job Title: Senior Support Engineer – Data Integration & SupportKey Responsibilities
  • Own day-to-day operational support for integration pipelines built on SnapLogic (or equivalent ETL/iPaaS tools) and dbt-based transformation workflows
  • Monitor pipeline health, proactively identify failures/bottlenecks, and drive root-cause analysis and permanent fixes (not just workarounds)
  • Manage incident response, ticket triage, and SLA adherence for production support issues (P1–P4 severity handling)
  • Lead a small team of support engineers — assign tickets, review fixes, mentor junior engineers, and ensure knowledge transfer
  • Maintain and enhance runbooks, support documentation, and standard operating procedures for the integration landscape
  • Coordinate with Data Platform/Architecture teams on change management, release deployments, and impact assessment for support-affected pipelines
  • Perform regular health checks, capacity/performance reviews, and recommend optimization of existing SnapLogic pipelines and dbt models
  • Manage on-call rotations and escalation processes
  • Track and report operational metrics (uptime, MTTR, ticket volume/trends) to engineering leadership and client stakeholders
  • Partner with client-side counterparts to review open issues, prioritize backlog, and communicate status transparently
Required Skills & Experience
  • Hands-on experience with SnapLogic (or similar ETL/integration tools — Informatica, Talend, Azure Data Factory, MuleSoft) in a production support capacity
  • Strong working knowledge of dbt (models, tests, macros, documentation, CI/CD for transformations)
  • Prior experience in a Managed Services / Application Support / L2-L3 support environment — ticketing tools (ServiceNow, Jira Service Management), incident management, SLA-driven delivery
  • SQL proficiency and experience with cloud data warehouses (Snowflake, Redshift, BigQuery, or similar)
  • Familiarity with cloud platforms (Azure/AWS/GCP) and orchestration/monitoring tools
  • Strong troubleshooting and root-cause analysis skills under time pressure
  • Excellent communication skills — comfortable interfacing directly with client stakeholders

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