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# Technical Delivery Lead

- **Company:** Visionet Systems Inc.
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Big Data, Information Engineering, Data Governance, Data Integration, Data Warehousing, Performance Tuning, Cloud Services, Apache Spark, Microsoft Fabric, Pyspark, Performance Monitor, Data Management, Data Pipelines
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815453510-technical-delivery-lead

## About the Role

* Minimum 10-15 years in data engineering, analytics delivery, or large-scale data platform execution roles.
 * Strong experience with cloud data platforms (Microsoft Fabric), large-scale ingestion & transformation pipelines, and data warehousing / lakehouse concepts.
 * Familiarity with data governance, compliance, and data quality frameworks.
 * Excellent stakeholder coordination across business, IT, governance, and analytics functions.
 * Hands-on technical proficiency in data pipeline tools, data modelling, and data product delivery.

## Description

Responsible for the full lifecycle of enterprise-scale data integration and analytics platform activation on Microsoft Fabric within a large, complex marketing analytics environment. This role designs, builds, and operationalizes robust data pipelines, transformations, and data models and manages controlled, production-grade releases to ensure platform stability, scalability, and trusted analytics consumption., * Design, govern, and operationalize Fabric pipelines, PySpark transformations, and Lakehouse-based Medallion architecture.

 * Translate business requirements and approved data roadmaps into executable technical designs, sprint backlogs, and production-grade delivery plans.
 * Own platform performance, reliability, and scalability through proactive monitoring, Spark performance tuning, and workload optimization.
 * Act as the technical coordination point across business, governance, IT, and analytics engineering teams to deliver certified, production-ready analytical datasets.
 * Oversee release engineering including Dev-Test-Prod promotion, production cutovers, rollback strategies, and post-release stabilization of pipelines and models.
 * Provide technical leadership through architecture reviews, code governance, reusable framework development, and long-term scalability planning for the platform.


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