
Role: Senior Leader - Data Architecture
We are looking for a - highly seasoned Data Architecture leader- to head our enterprise data architecture function. The ideal candidate is someone who has built and scaled large-scale data platforms and can drive the vision, strategy, and execution of data architecture across the organization.
Key Requirements
1. Deep Technical Expertise in Large-Scale Distributed Data Systems
- Proven experience in - designing and developing enterprise-class, internet-scale distributed data services
- Hands-on background supporting - mission-critical, high-volume transactional systems- with stringent performance, reliability, and availability requirements.
2. Strong Experience Across Modern Data Ecosystems
- Expertise in Data Lakes(enterprise-wide storage architectures).
- Strong knowledge in building and managing Data APIs- that support internal and external data consumption.
- Experience with - Data Fabric / Data Fabrication- concepts - including metadata-driven data integration, virtualization, and automated data pipelines.
3. Leadership & Organizational Build-Out
- Currently leading or heading a - Data Architecture or Enterprise Data Engineering- function in a mid-to-large organization.
- Demonstrated ability to - build teams, processes, and platforms from scratch- .
- Strong leadership presence with the ability to - define architectural standards, practices, governance models- , and align stakeholders across engineering, product, and business.
Ideal Background:
- 20 + years in data engineering / data architecture, with at least 10+ years in a senior or head-of-architecture role.
- Experience in cloud-native data platform architectures (AWS/GCP/Azure).
- A track record of delivering resilient, scalable, secure data systems in high-growth or high-throughput environments.
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