Principal Enterprise Architect

Role Overview

Landmark Digital is looking for a highly experienced Enterprise Data Architect to define, govern and evolve the enterprise-wide data architecture across retail, eCommerce, supply chain, customer and finance domains.

This role will be responsible for building a scalable, secure and business-aligned data foundation that enables omnichannel growth, advanced analytics, AI/ML use cases and real-time decision-making, while reducing complexity, cost and risk across brands and geographies.

Key Responsibilities

1. Enterprise Data Architecture Ownership
   • Own end-to-end enterprise data architecture across Digital Commerce, Retail IT, Supply Chain, CRM, Loyalty, Marketing Tech, Finance, and Data Platforms.
   • Define current-state, target-state, and transition architectures aligned to Landmark’s omnichannel growth and cost-efficiency objectives.
   • Ensure data platforms can scale for high-volume retail operations, seasonal peaks, and multi-country expansion.

2. Omnichannel Data Enablement
   • Architect unified data models for customer, product, inventory, order, pricing and promotions across online and offline channels.
   • Enable real-time and near real-time data flows supporting use cases such as:
   • Unified inventory & fulfillment visibility
   • Customer 360 & personalization
   • Omnichannel analytics and reporting
   • Support peak traffic events (e.g., festive sales, White Wednesday equivalents) with resilient, scalable data pipelines.

3. Data Platform Modernization
   • Lead modernization of data platforms including data lakes, data warehouses, streaming platforms and analytics stacks.
   • Drive adoption of cloud-native, API-first, and event-driven data architectures.
   • Rationalize legacy data stores, point integrations, and duplicated reporting systems across brands.

4. Data Governance, Quality & Compliance
   • Define and implement enterprise data governance frameworks, including:
   • Master Data Management
   • Metadata management & lineage
   • Data quality standards and controls
   • Ensure compliance with data privacy, PCI, regional regulatory and security requirements by design.
   • Establish clear data ownership, stewardship and access control models.

5. Business & Leadership Partnership
   • Act as a strategic advisor to Business, Digital, Supply Chain, Finance and Analytics leaders.
   • Translate commercial priorities into data roadmaps and investment plans.
   • Enable faster decision-making through trusted, timely, and actionable data.

6. Delivery Assurance & Architecture Governance
   • Establish and run Data Architecture Review Boards (ARB) and design authorities.
   • Partner with Product, Engineering, Analytics, and SI partners to ensure architecture-aligned execution.
   • Prevent architectural debt, data silos, and uncontrolled proliferation of tools.

7. Vendor & Platform Strategy
   • Evaluate and govern SaaS platforms, hyperscalers, BI tools and data vendors.
   • Drive vendor consolidation and cost optimization across brands and regions.
   • Ensure long-term scalability and contractual alignment to target data architecture.

8. Capability Building & CoE
   • Build and mentor a Group Data Architecture / Data Platform CoE.
   • Upskill teams on modern data architecture, analytics engineering, and governance practices.
   • Drive reuse of shared data assets, models, and pipelines across brands.

Required Skills & Experience

Experience

• 15+ years in data architecture, enterprise architecture or large-scale analytics platforms.
• Strong experience in retail, eCommerce, consumer internet or large enterprise ecosystems.
• Proven experience working across multi-brand, multi-country environments.

Technical Expertise

• Cloud data platforms (AWS / Azure / GCP)
• Data Lake / Lakehouse / Warehouse architectures
• Streaming & event platforms (Kafka, Pub/Sub, Event Hub equivalents)
• BI & Analytics tools
• MDM, metadata, data quality, and governance tools
• Strong understanding of API and integration patterns

Leadership & Behavioral Traits

• Strategic, systems thinker with strong business acumen
• Ability to influence senior stakeholders without direct authority
• Strong governance mindset balanced with speed and pragmatism
• Comfortable operating in ambiguity and scale