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
