The Role
Lead operational support for SnapLogic and dbt data integration pipelines, including monitoring, incident response, root-cause analysis, SLA management, performance optimization, and release coordination. Manage a small support team, on-call rotations, ticket triage, runbooks, and operational metrics. Partner with client stakeholders and data platform teams to prioritize issues, communicate status, and deliver permanent fixes.
Summary Generated by Built In
Job Title: Lead Operational Engineer – Data Integration & Support
Key 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
- Experience leading or mentoring a small support team
- Strong troubleshooting and root-cause analysis skills under time pressure
- Excellent communication skills — comfortable interfacing directly with client stakeholders
Skills Required
- Production support experience with SnapLogic or equivalent ETL and integration tools such as Informatica, Talend, Azure Data Factory, or MuleSoft
- Strong working knowledge of dbt models, tests, macros, documentation, and CI/CD for transformations
- Experience in managed services, application support, or L2-L3 support environments
- Experience with ticketing and incident-management tools such as ServiceNow or Jira Service Management
- SQL proficiency
- Experience with cloud data warehouses such as Snowflake, Redshift, BigQuery, or similar
- Familiarity with Azure, AWS, or GCP cloud platforms and orchestration or monitoring tools
- Experience leading or mentoring a small support team
- Strong troubleshooting and root-cause analysis skills under time pressure
- Excellent communication skills and ability to interface directly with client stakeholders
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
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