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 indesigning and developing enterprise-class, internet-scale distributed data servicesHands-on background supportingmission-critical, high-volume transactional systemswith stringent performance, reliability, and availability requirements.2. Strong Experience Across Modern Data Ecosystems
Expertise inData Lakes(enterprise-wide storage architectures).Strong knowledge in building and managingData APIsthat support internal and external data consumption.Experience withData Fabric / Data Fabricationconcepts — including metadata-driven data integration, virtualization, and automated data pipelines.3. Leadership & Organizational Build-Out
Currently leading or heading aData Architecture or Enterprise Data Engineeringfunction in a mid-to-large organization.Demonstrated ability tobuild teams, processes, and platforms from scratchStrong leadership presence with the ability todefine architectural standards, practices, governance models, and align stakeholders across engineering, product, and business.###
Ideal Background20 + 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