Джерело: CrawlJobs
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Data Architecture & Delivery Lead

Гібридна робота

Дата публікації: 10.08.2026

We’re working with a leading Insurance consultancy and technology partner, looking to appoint an experienced Data Architecture & Delivery Lead to drive enterprise-wide data transformation. This is a high-impact role combining data architecture, delivery leadership, stakeholder management, and governance - ideal for someone who enjoys shaping scalable cloud-based data ecosystems while leading complex programmes from strategy through to execution. You’ll play a key role in modernising enterprise data platforms, driving cloud adoption, and delivering large-scale BI, Data Warehouse, and Data Migration programmes across complex regulated environments.

Responsibilities

Lead enterprise data architecture and modernisation initiatives across cloud and on-prem environments; Design and govern scalable data pipelines, ETL frameworks, and enterprise data models; Drive improvements across Data Warehouse, BI, and Data Migration programmes; Lead delivery teams through the full project lifecycle including design, development, testing, and deployment; Act as the architecture SME and key stakeholder contact across multiple workstreams; Ensure alignment with governance standards, enterprise roadmaps, and delivery methodologies; Manage project scope, dependencies, risks, resource planning, and delivery timelines; Collaborate with third-party vendors, integration partners, and business stakeholders; Oversee data quality, validation, compliance, and control frameworks; Support cloud adoption and legacy-to-cloud migration initiatives; Develop POCs, reusable frameworks, and strategic data accelerators

Requirements

Leadership experience in enterprise data architecture and data engineering; Proven experience within London Market insurance technology environments; Experience in Azure Databricks and Azure Data Factory is essential, as these are the key tools being used on this project; Hands-on expertise with cloud data platforms, ETL frameworks, and Data Warehousing; Proven experience leading large-scale data transformation programmes; Strong understanding of data governance, quality, compliance, and architecture standards; Experience managing cross-functional delivery teams and multiple stakeholders; Strong background in data migration, analytics delivery, and cloud modernisation; Exposure to enterprise architecture governance boards and large-scale transformation programmes; Experience building reusable delivery frameworks and accelerators; Familiarity with Agile delivery methodologies and modern cloud ecosystems
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