About the Role

We are looking for a highly experienced Lead Data Engineer / Data Architect to own the design, implementation, governance, and delivery of enterprise data platforms supporting analytics, reporting, AI, and operational excellence initiatives across Digital Grid. This is not a developer-only role. The person should combine architecture thinking with hands-on implementation and provide technical leadership across multiple parallel initiatives.

This role is suited for a self-driven technical leader who can independently own workstreams, engage stakeholders, translate business requirements into scalable technical solutions, and drive delivery with a high degree of autonomy.

Key Responsibilities
Solution Ownership & Delivery: Own end-to-end delivery from requirements to architecture, implementation, deployment, documentation, and support.
Enterprise Data Architecture: Design secure, scalable data lake, lakehouse, warehouse, and data product architectures with reusable patterns.
Microsoft Fabric Platform Engineering: Implement Fabric Lakehouse, Warehouse,



OneLake, Data Factory, Semantic Models, and Power BI integration patterns.
Metadata-Driven Engineering: Build reusable ingestion and transformation frameworks for ERP, CRM, Finance, HR, SharePoint, APIs, databases, files, and external sources.
Data Modeling & Analytics Enablement: Create dimensional models, data marts, semantic models, KPIs, and governed reporting layers for self-service BI.
Governance, Quality & Security: Define and implement standards for metadata, lineage, auditability, naming conventions, access control, retention, data quality, RBAC, RLS, and compliance.
AI-ready Data Foundations: Prepare curated datasets, knowledge repositories, and governed data foundations for AI, GenAI, RAG, forecasting, and advanced analytics use cases.
Platform Leadership & Reviews: Conduct design reviews, define engineering standards, mentor engineers, guide implementation teams, and drive reu

📌 Lead Data Engineer Bengaluru
🏢 Siemens
📍 Bengaluru