Principal Data Engineer

Anblick Solutions · Hyderabad · onsite · Posted 49d ago

Undisclosed10–15 yrsfulltimeSourced from Naukri

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About this role

About the Role

We are seeking a Azure and AI Engineer to serve as the technical build lead for a large-scale agentic automation platform. This role will own the end-to-end solution architecture and engineering execution across Azure, AI/LLM workflows, platform operations, and the reusable framework.

This person will lead the offshore engineering team, define the technical standards, and ensure the platform is scalable, secure, and reusable across multiple workloads.

Key Responsibilities

1) Own the end-to-end technical architecture of the agentic automation platform, including component boundaries, integration patterns, and agent orchestration.

2) Design and implement Azure integration and orchestration using Azure Durable Functions, Logic Apps, Event Hub, Event Grid, and Service Bus.

3) Build the self-managing operations layer covering pipeline monitoring, data freshness checks, self-validation, self-healing, and controlled remediation with audit tracking.

4) Define the safety and decision framework for automated actions, including impact assessment, confidence thresholds, validation, and escalation.

5) 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.

6) Define and manage the Azure infrastructure architecture, including data services, security, RBAC, Key Vault, IaC, and CI/CD.

7) Lead and review offshore engineering work, ensuring the agreed architecture, coding standards, and framework patterns are followed across workstreams.

8) Prepare solution design documents, architecture blueprints, technical documentation, and operational runbooks.

Required Skills & Experience

1) 10+ years of experience in Azure/cloud engineering.

2) 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.

3) Proven experience building AI/LLM-based applications or agentic solutions, including multi-agent workflows and tool integration.

4) Good understanding of LLM concepts such as structured outputs, schema-based prompting, response validation, and confidence-based processing.

5) Strong Python and SQL skills for platform engineering, data pipelines, and AI integration.

6) Experience with Azure Monitor, Power BI, or similar tools for monitoring and reporting is an advantage.

7) Strong technical leadership and communication skills, with the ability to work with both engineering teams and business stakeholders.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Sourced from naukri

Skills

AutomationschemaAuditingSolution architectureTechnical DocumentationcodingPythonSQLoperationsMicrosoft

About Anblick Solutions

Anblick Solutions

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employees

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About

Anblicks, a team of specialists in strategic dUnlock the full potential of your data with Anblicks, a team of strategic data modernization experts. Our tailored services cover seamless data migration, robust re-architecture, and transformative solutions. The "AIM" Framework from Anblicks, encompassing Advise, Implement, and Manage, presents a dynamic methodology that simplifies data management. This approach effectively tailors, launches, and maintains data strategies. Anblicks guides its clients in customizing their data foundation, deploying an insight-driven platform, and provides continuous support with its innovative services. This empowers clients to fully leverage their data assets, securing their future capabilities. The framework promotes data democratization and governance, driving growth and enhancing competitive edges through strategic use of data and AI.

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