Tech Stack

Description

You will lead the strategy, design, and modernization of MongoDB's enterprise data landscape, defining solutions to integrate Data Lake and Data Warehouse across multi-cloud platforms. Over the next 12-18 months, you will enable self-service data access and natural language query capabilities for business users, while architecting Master Data Management and data lineage frameworks to ensure AI models operate on high-quality governed data.

Requirements

• Expertise in data architecture, engineering, and AI enablement
• Experience with Data Lake and Data Warehouse integration across multi-cloud platforms
• Ability to lead vendor POCs and build vs. buy frameworks
• Strong understanding of data governance, quality, and lineage
• Experience with product thinking and treating internal consumers as customers

Responsibilities

• Define semantic layer architecture and standardize business metrics enterprise-wide
• Develop Master Data strategy for Customer and Product domains with golden record requirements
• Design cross-cloud data integration strategy and reference architecture
• Evaluate AI-powered data observability platforms and lead vendor POCs
• Define data architecture roadmaps for Finance, Sales, Product, and People