Data Architect

We are the Intelligent Internet Platform. We connect People, Places and Things anywhere, managing Internet Performance better than anyone else, while providing One Global Experience, giving Visibility, Control and Security through expereoOne.

Expereo believes in the power of Internet connectivity. As the world's largest provider of managed internet, SD-WAN/SASE, and Cloud connectivity solutions, we power enterprises and government sites worldwide, helping to enhance every business' productivity with flexible and optimal Internet performance.

As a trusted partner of Fortune 500 enterprises and carriers, our continued aim and success in helping both our customers and partners depends solely on the talented individuals that make Expereo a dynamic, effective, multicultural, and equitable environment.  

About the role

We are looking for an experienced and versatile Data Architect to lead the end-to-end architecture of Expereo’s next-generation data and AI platform, enabling a unified customer and supplier experience and powering our evolution toward a full Network-as-a-Service ecosystem. This role covers the whole technical spectrum, from data ingestion and lakehouse design to governance, quality, automation, and AI enablement. It requires someone hands-on, fluent in modern data engineering practices, and capable of shaping the foundations that support synchronous, real-time, automated digital journeys for customers and suppliers. 

The architect owns platform-wide decisions across ingestion frameworks, data modelling, reference architecture, orchestration, observability, machine learning integration, semantic modelling, catalogue strategy, and AI-assisted workflows. They design and implement a code-first, scalable, automated platform that unifies data from global suppliers, networks, and customer interactions, enabling intelligent UX, operational automation, and real-time insights. 

This role is not a BI analyst or dashboard builder. It is an engineering-heavy, architecture-led position responsible for defining and building the technical backbone of Expereo’s data-driven future. You will work directly with the cloud architect, the network architect, and the lead architect, reporting directly to the Chief Innovation Officer. 

Architectural Ownership 

• Define, own, and evolve Expereo’s end-to-end data platform architecture, including ingestion, lakehouse/warehouse, transformation, orchestration, governance, observability, and AI enablement. 

• Establish and maintain a unified data model that standardises inputs across the ecosystem, orchestration, and customer experience layers of the NaaS platform. 

• Lead design decisions for storage technologies, table formats, transformation frameworks, and streaming/batch patterns. 

Data Engineering & Pipeline Design 

• Architect and implement scalable ELT/ETL pipelines across Salesforce, backend systems, CMDB, network telemetry, and supplier systems. 

• Define standards for raw, cleaned, and curated zones, ensuring quality, lineage, and reprocessability. 

• Introduce CDC, schema evolution, and automated ingestion patterns. 

AI, ML & Intelligent Automation 

• Define the AI framework layered on top of the data platform, including feature stores, model lifecycle, data products, and ML observability. 

• Enable AI-driven actions across the digital customer journey, including pricing intelligence, delivery prediction, automated triggers, and proactive insights. 

• Build the foundations for conversational and semantic data discovery to support intelligent workflows and AI agents. 

Governance, Quality & Metadata 

• Set up a scalable data governance architecture, including catalogue, lineage, data ownership, and sensitivity classification. 

• Implement automated data quality testing and observability integrated into pipeline orchestration. 

Platform Integration & Scalability 

• Ensure the data foundation supports synchronous customer/supplier workflows, automated ordering, delivery tracking, support workflows, and NaaS service orchestration. 

• Ensure the platform is cloud-native, modular, and ready for integration into internal and external ecosystems. 

Leadership & Collaboration 

• Act as the technical authority for data architecture decisions across engineering, product, commercial, and operations. 

• Guide engineers, ML engineers, and analysts through technical direction and best practices. 

• Partner with platform, supplier automation, and product teams to ensure data becomes a first-class citizen across the business.

Technical Expertise 

• Deep hands-on experience building modern data platforms on cloud infrastructure (AWS preferred). 

• Strong expertise with lakehouse or warehouse architectures (Redshift, Snowflake, Databricks, all in Iceberg/Delta/Hudi formats). 

• Proven experience with ELT/ETL tooling such as Airbyte, dbt, Spark, Python pipelines, and orchestration frameworks (Dagster, Airflow, Prefect). 

• Strong understanding of structured, semi-structured, and streaming data processing. 

• Experience designing and deploying MLOps/AI architectures, including feature stores, model registries, monitoring, and inference pipelines. 

• Solid understanding of data governance, discovery, cataloguing, lineage, and metadata systems (DataHub or similar). 

• Deep knowledge of SQL, Python, and other relevant (scripting and programming) languages 

• Completely at ease and comfortable with DevOps, Git and everything-as-code practices 

Architecture & System Design 

• Proven ability to design scalable, modular, cloud-native architectures supporting real-time workflows and cross-system integration. 

• Experience with domain modelling, event-driven patterns, and standardising data across heterogeneous systems. 

• Ability to design architectures supporting customer and supplier-level automation, digital ordering, and real-time visibility workflows. 

Leadership & Delivery 

• Demonstrated capability to drive architectural decisions, challenge assumptions, and coordinate engineering execution. 

• Ability to translate high-level platform ambitions into technical blueprints and iterative implementation plans. 

• Strong communication skills; able to collaborate across engineering, product, operations, and commercial teams. 

Mindset 

• Builder mentality with strong ownership. 

• Code-first, automation-first approach. 

• Comfortable designing data infrastructure for AI-native products and automated digital journeys. 

• Not a BI report writer. Not a dashboard specialist. Not a Powerpoint architect. A hands-on architect. 

What We Offer 

• A dynamic, international work environment with growth opportunities 

• Exposure to cutting-edge technologies and large-scale global networks 

• Learning and development support to build your career in product management 

• Competitive compensation and benefits 

• Private Healthcare Plan

• Pension Plan
• Hybrid working
• 25 days Holiday

Beyond the Job

We’re proud of our focus on Environment, Social and Governance as well as the passion we display for the communities where we live and work.

EEO (Equal Employments Opportunities) Statement:

Expereo is an Equal Opportunities employer who aims to support and celebrate every employee that comes through our doors. We respect and support all of our people regardless of background, religion, nationality, sexual orientation, age, or physical condition.