This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer - Semantic Data Lake based in India.
Join a forward-looking data engineering team building the foundations of an AI-native enterprise data platform. In this role, you will help transform raw enterprise data into trusted, reusable, semantically meaningful business assets. You will design and evolve the control plane that orchestrates data operations, governance, quality, lineage, and observability at scale. The role combines contemporary software engineering, data platform architecture, AI engineering, and DevOps practices. You will work closely with data scientists, domain experts, and product stakeholders to turn complex business concepts into reliable data products. You will also help shape how AI-assisted development and agentic architectures are adopted across the engineering organization.
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Accountabilities:




Design and implement the core infrastructure and control-plane services that orchestrate data lifecycles from ingestion and transformation through distribution and consumption.
Build proactive reliability capabilities, including observability frameworks, automated quality gates, validation mechanisms, and operational controls that embed data trust into the platform.
Develop self-service portals, developer tooling, and reusable templates that enable domain teams to independently create, manage, and consume trusted data products.
Automate governance and security capabilities, including end-to-end data lineage, metadata management, role-based access control, PII protection, auditability, and compliance controls.
Contribute to AI-native data architecture, including context and retrieval-augmented generation (RAG) systems, agentic workflows, semantic models, and technologies that support intelligent data consumption.
Use AI coding assistants such as Claude, GitHub Copilot, Cursor, and similar tools to accelerate d

📌 Senior Software Engineer (India)
🏢 Jobgether
📍 India