Diogo Menezes Borges

Sales Domain Data Architect — Siemens

Jan 2025 – Present · Porto, Portugal

Leading federated data governance and data mesh principles across the Sales domain at Siemens Smart Infrastructure.

• Own the architecture, lifecycle, and quality of business-critical Sales Data Products on the Siemens Data Cloud platform.
• Design and evaluate AI use cases end-to-end — from ideation through architecture and deployment — leveraging Azure AI services and Salesforce Agentforce for CRM intelligence.
• Define and enforce data governance, quality, and compliance standards across the Sales domain.
• Lead the architectural oversight of the Anaplan migration.
• Architect and optimize Salesforce data integrations.

Data Solutions Architect — adidas

Sep 2021 – Jan 2025 · Porto, Portugal

Designed and evolved adidas' next-generation cloud data platform, built on Databricks and AWS and aligned with data mesh principles.

• Architected and led the migration of petabyte-scale data from legacy warehouses to a unified Databricks Lakehouse.
• Championed a decentralized, data-mesh–oriented architecture enabling domain teams to own and operate self-service data products.
• Enforced centralized governance through AWS Lake Formation and Databricks Unity Catalog.
• Platform now supports hundreds of production analytics and ML workloads used by global teams.

Read on Medium: 5 Ingredients of the Modern Data Platform

Product Owner, Cloud Data Hub — BMW Group

Aug 2020 – Aug 2021 · Porto, Portugal

Owned the product vision for BMW's Cloud Data Hub ingestion platform — a core AWS-based data product enabling large-scale, self-service data ingestion.

Read on AWS Blog: BMW Cloud Data Hub

Data Engineer, Cloud Data Hub — BMW Group

Dec 2018 – Aug 2020 · Porto, Portugal

Built the engineering foundations of BMW's Cloud Data Hub — a large-scale AWS data platform consolidating enterprise data into a single cloud-native ecosystem.

Data Analyst — ALERT Life Sciences Computing

Oct 2015 – Jul 2018 · Vila Nova de Gaia, Portugal

Data Analyst within the Business Intelligence team at ALERT, specialised in clinical and hospital management software.

SBM Offshore Use Case

A capability showcase — not a real client engagement

Problem: 15 FPSOs generating 160M+ daily data points across PI System, IFS ERP, and Cognite CDF. No unified data ownership.

Approach: Proposed a federated Data Mesh architecture leveraging Microsoft Fabric — including domain workspaces, data product contracts with SLOs, and cross-domain lineage tracking.

Outcome: Interactive demo showcasing 27+ data products, 5 domains, cross-domain lineage, governance assessment, and full architecture documentation.

Technologies: Microsoft Fabric, Azure Purview, Data Mesh, Power BI, Data Products

adidas — Lakehouse Platform

Problem: Petabyte-scale data siloed across legacy warehouses. Centralized data team was the bottleneck.

Approach: Architected a Databricks Lakehouse on AWS with data mesh principles.

Outcome: Platform serves hundreds of production analytics and ML workloads globally. Time-to-insight dropped from weeks to hours.

Technologies: Databricks, AWS, Spark, Delta Lake, Unity Catalog

BMW — Self-Service Ingestion

Problem: Centralized pipeline management created multi-week bottlenecks. Domain teams had zero autonomy.

Approach: Led transition to self-service: reusable templates, APIs, documentation. Event-driven frameworks on AWS with IaC deployment.

Outcome: Domain teams independently deploy pipelines. Onboarding time reduced by 60%. Thousands of users across multiple AWS accounts.

Technologies: AWS, Lambda, Step Functions, Terraform, Python