Principal Data Engineer

Anblicks; Hyderabad; On-site; INR 3,200,000 - 7,000,000; Full time

Job summary

Anblicks in Hyderabad is seeking a seasoned Azure/Cloud Architect to own the end-to-end technical architecture of our agentic automation platform. You will lead design of integration patterns, component orchestration, and offshore engineering alignment.

The role requires 10+ years in Azure/cloud engineering, deep hands-on Azure services experience, and a track record in AI/LLM-based solutions. You will shape governance, security, and CI/CD for scalable deployments.

Qualifications

• 10+ years of experience in Azure/cloud engineering.
• Strong hands-on experience with Azure integration and data services, including Azure Durable Functions, Logic Apps, Event Hub, Event Grid, Azure Functions, Service Bus, Microsoft Fabric, Azure Synapse, Azure Data Lake, and Azure SQL.
• Proven experience building AI/LLM-based applications or agentic solutions, including multi-agent workflows and tool integration.
• Good understanding of LLM concepts such as structured outputs, schema-based prompting, response validation, and confidence-based processing.
• Strong Python and SQL skills for platform engineering, data pipelines, and AI integration.
• Experience with Azure Monitor, Power BI, or similar tools for monitoring and reporting is an advantage.
• Strong technical leadership and communication skills, with the ability to work with both engineering teams and business stakeholders.

Responsibilities

• Own the end-to-end technical architecture of the agentic automation platform, including component boundaries, integration patterns, and agent orchestration.
• Design and implement Azure integration and orchestration using Azure Durable Functions, Logic Apps, Event Hub, Event Grid, and Service Bus.
• Build the self-managing operations layer covering pipeline monitoring, data freshness checks, self-validation, self-healing, and controlled remediation with audit tracking.
• Define the safety and decision framework for automated actions, including impact assessment, confidence thresholds, validation, and escalation.
• Design and implement the config-driven framework so new workloads or rule sets can be onboarded through configuration and mapping changes without modifying the core platform code.
• Define and manage the Azure infrastructure architecture, including data services, security, RBAC, Key Vault, IaC, and CI/CD.
• Lead and review offshore engineering work, ensuring the agreed architecture, coding standards, and framework patterns are followed across workstreams.
• Prepare solution design documents, architecture blueprints, technical documentation, and operational runbooks.

Skills

Azure Cloud

Azure integration

AI/LLM apps

LLM concepts

Python & SQL

Azure Monitor

Technical leadership

Tools

Azure Durable Functions

Logic Apps

Event Hub

Event Grid

Service Bus

Microsoft Fabric

Azure Synapse

Azure Data Lake

Azure SQL

Azure Functions

Job description

Job Responsibilities

• Own the end-to-end technical architecture of the agentic automation platform, including component boundaries, integration patterns, and agent orchestration.
• Design and implement Azure integration and orchestration using Azure Durable Functions, Logic Apps, Event Hub, Event Grid, and Service Bus.
• Build the self-managing operations layer covering pipeline monitoring, data freshness checks, self-validation, self-healing, and controlled remediation with audit tracking.
• Define the safety and decision framework for automated actions, including impact assessment, confidence thresholds, validation, and escalation.
• Design and implement the config-driven framework so new workloads or rule sets can be onboarded through configuration and mapping changes without modifying the core platform code.
• Define and manage the Azure infrastructure architecture, including data services, security, RBAC, Key Vault, IaC, and CI/CD.
• Lead and review offshore engineering work, ensuring the agreed architecture, coding standards, and framework patterns are followed across workstreams.
• Prepare solution design documents, architecture blueprints, technical documentation, and operational runbooks.

Required Skills & Experience

• 10+ years of experience in Azure/cloud engineering.
• Strong hands-on experience with Azure integration and data services, including Azure Durable Functions, Logic Apps, Event Hub, Event Grid, Azure Functions, Service Bus, Microsoft Fabric, Azure Synapse, Azure Data Lake, and Azure SQL.
• Proven experience building AI/LLM-based applications or agentic solutions, including multi-agent workflows and tool integration.
• Good understanding of LLM concepts such as structured outputs, schema-based prompting, response validation, and confidence-based processing.
• Strong Python and SQL skills for platform engineering, data pipelines, and AI integration.
• Experience with Azure Monitor, Power BI, or similar tools for monitoring and reporting is an advantage.
• Strong technical leadership and communication skills, with the ability to work with both engineering teams and business stakeholders.