Telefonica Tech UK - Databricks on AWS

Telefónica Tech UK&I's Data & AI practice delivers a Databricks-native Lakehouse Platform Accelerator purpose-built for AWS. Framework v4.0 provides a complete baseline implementation covering standardised infrastructure configuration, metadata-driven ingestion, cleansing, governance, and orchestration patterns, enabling organisations to achieve a 40-60% reduction in development and deployment time.

The accelerator implements a Medallion Architecture (Landing, Bronze, Silver, Gold) with eight composable platform layers: Composable Compute (including Databricks Serverless), Unified Data Storage, Unified Governance via Unity Catalog, Ingestion Engine, Cleansing and Validation Engine, MLOps Engine, Metadata Layer, and Data Product Engine. This architecture eliminates dependencies on ancillary services while delivering enterprise-grade data governance out of the box.

Our Data Product Delivery Methodology provides a standardised discovery and delivery approach for provisioning high-quality, governed data products with automated and repeatable processes. The end-to-end architecture on AWS leverages Source Systems, AWS Glue, S3 Data Lake across RAW/BASE/CURATED tiers, Spark Notebooks, SQL Warehouse, and reporting tools, all orchestrated via Databricks Lakeflow.

We also offer a five-day Data Platform Proof of Concept engagement designed to validate how Databricks meets your data strategy goals before committing to full-scale implementation. The PoC explores architecture options, governance, and cost management while delivering tangible outputs such as dashboards, semantic layers, or ML models.

Key Benefits: Native Lakehouse Architecture purpose-built for Databricks; Simplified Orchestration reducing pipeline complexity; Built-In Governance via Unity Catalog; Databricks Serverless Ready for reduced running costs; Simplified Observability for streamlined monitoring; and future-proof metadata-driven processes that decouple your solution from underlying technology.

Telefónica Tech brings 200+ specialists across data engineering, AI, and strategy, with hundreds of data platform projects completed across Retail, Travel, Hospitality, Housing and Construction, Public Sector, Education, Healthcare, FSI, and Legal. Delivery follows Agile Scrum methodology with a DevOps lifecycle approach, supported by UK-led teams with offshore capacity. Managed services options provide 24/7 support, proactive monitoring, FinOps reporting, and cost optimisation.