Principal Data Engineer

Overview

Principal Data Engineer focused on technical leadership for data foundations that support trusted reporting and agentic AI-driven products.

What you'll do

• Drive technical direction for a product domain or platform capability.
• Design and maintain data pipelines and reporting models for trusted business metrics.
• Build and support data workflows for agentic AI systems such as RAG ingestion, embeddings, vector stores, and AI agent workflows.
• Use AI-assisted/agentic engineering tools in engineering workflows and help others adopt agentic practices.
• Identify and lead architectural debt remediation and manage ongoing technical debt.
• Partner with product and engineering leadership on multi-quarter roadmap feasibility and provide technical oversight.
• Elevate engineering craft via RFCs, mentorship, knowledge sharing, and training programs.

What you'll need

• 10+ years of experience in software engineering with a focus on technical leadership and architecture.
• Deep understanding of data engineering principles including data modeling, data warehousing, reporting, and data governance.
• Strong technical expertise in SQL, PostgreSQL, ETL/ELT pipelines, BI tools, and analytics platforms.
• Practical experience with AI/LLM-adjacent and agentic AI data work such as RAG ingestion, embeddings, vector stores, and AI agent workflows.
• Working knowledge of modern cloud platforms such as AWS.
• Experience with BI, reporting, dashboards, and customer-facing analytics.
• Experience leading cross-functional initiatives with product, engineering, analytics, and business teams.

Details

• Location: Mitratech India.