Lead Support Engineer

Anblicks Inc.; Hyderabad; On-site; INR 3,500,000 - 6,500,000; Full time

Benefits offered by this job

Health insurance

Job summary

Anblicks Inc. in Hyderabad seeks a Lead Operational Engineer for Data Integration & Support to own the daily ops of SnapLogic pipelines and dbt workflows. You will monitor health, drive root-cause fixes, manage incidents, and guide a small team of engineers.

The role requires hands-on experience with SnapLogic, dbt, SQL, and cloud platforms; collaboration with Data Platform teams and client stakeholders is essential for successful releases and performance optimization.

Qualifications

• Hands-on experience with SnapLogic and other ETL/integration tools in production support.
• Strong knowledge of dbt (models, tests, macros, documentation, CI/CD).
• Experience in Managed Services / Application Support with SLA-driven delivery.
• SQL proficiency and cloud data warehouses (Snowflake, Redshift, BigQuery).
• Familiarity with Azure/AWS/GCP and orchestration/monitoring tools.
• Experience leading or mentoring a small support team.
• Strong troubleshooting and client-facing communication.

Responsibilities

• Own day-to-day operational support for integration pipelines and dbt workflows.
• Monitor pipeline health, identify failures, and drive permanent fixes.
• Manage incident response, triage, and SLA adherence for production issues.
• Lead a small team of support engineers, assign tickets, and mentor juniors.
• Maintain runbooks, SOPs, and support documentation for integration landscape.
• Coordinate with Data Platform/Architecture on change management and releases.
• Perform health checks and optimize existing SnapLogic pipelines and dbt models.
• Manage on-call rotations and escalation processes.
• Track operational metrics and report to leadership and clients.

Skills

ETL tools

dbt

SQL

Leadership

Troubleshooting

Communication

Root-cause analysis

Incident management

Cloud platforms

Tools

SnapLogic

Informatica

Talend

Azure Data Factory

MuleSoft

ServiceNow

Jira Service Management

Snowflake

Redshift

BigQuery

Job description

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