Position Details
About this role
This role involves leading the architecture and modernization of enterprise-scale data platforms, focusing on AI-native workloads, data governance, and scalable, fault-tolerant systems to support AI agents and analytics.
Key Responsibilities
- Define Data Architecture
- Lead Data Platform Strategy
- Modernize Legacy Systems
- Establish Data Governance Standards
- Mentor Engineering Teams
Technical Overview
The technical environment includes distributed data systems, data lakes, real-time pipelines, and AI integration, with a focus on architecture standards, modernization, and enterprise data trust.
Ideal Candidate
The ideal candidate is a senior data engineering leader with over 10 years of experience in designing and evolving large-scale enterprise data platforms. They possess deep expertise in distributed systems, data governance, and AI-native workloads, with a proven track record of modernization and cross-domain collaboration.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years experience in data architecture, No experience with enterprise-scale data platforms, Lack of leadership or mentoring experience, Unable to work in hybrid environment
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