Role Overview

We are seeking a high-potential, hands-on Lead Data & AI Operations Engineer to own and continuously improve the operational health, governance, controls, reliability, and efficiency of our enterprise Data & AI ecosystem.

This is a high-impact technical leadership role with end-to-end accountability for Data & AI Operations across the company. The successful candidate will establish the operating model, engineering controls, automation, observability, and governance required to run Data & AI platforms as reliable, secure, and cost-effective enterprise services.

The ideal candidate combines deep Snowflake and Data Engineering expertise with a strong operations and controls mindset. This engineer will also design, build, and deliver technical solutions and platform capabilities required to achieve operational excellence and efficiency goals.

Key Responsibilities
- Supported end-to-end Data & AI Operations and Production Support across enterprise data platforms, data pipelines, analytics, BI, and AI/ML workloads, ensuring availability, reliability, performance,



and SLA adherence.
- Provided day-to-day Snowflake production support and administration, including workload monitoring, query performance analysis, troubleshooting, access/RBAC management, capacity monitoring, and platform health checks.
- Supported and enhanced Data Engineering pipelines and workflows, troubleshooting data ingestion, transformation, orchestration, processing, and downstream data delivery issues across production environments.
- Supported AI/ML and GenAI workloads in production, including monitoring application and model-related jobs, data dependencies, API integrations, scheduled processes, failures, and overall operational health.
- Contributed to AI Operations (AIOps) capabilities by using AI/GenAI tools for incident analysis, log summarization, anomaly identification, troubleshooting assistance, knowledge retrieval, and faster root-cause analysis.
- Developed Python script

📌 Lead Data (Bengaluru)
🏢 Pretium Property Management
📍 Bengaluru