Data Architect_ Nottingham (Data Architect I)
Role details
Job location
Tech stack
Job description
We are seeking an experienced Data Architect to lead the design and delivery of modern, scalable enterprise data ecosystems. This is a strategic role where you will drive data architecture vision, enable cloud transformation, and support advanced analytics and real-time data capabilities.
You will work at the forefront of enterprise data modernisation, collaborating with business and technology stakeholders to design high-performing data platforms that power strategic decision-making and innovation., * Design and architect scalable, secure, and high-performance enterprise data ecosystems using Microsoft Azure and Databricks
- Lead the architecture and implementation of modern data platforms, including Data Lakes, Lakehouse, Data Warehouses, and real-time analytics solutions
- Define and deliver architecture for data integration, ETL/ELT pipelines, batch and streaming data processing, and API-driven data services
- Establish and enforce enterprise data architecture standards, governance frameworks, and best practices
- Drive strategies across data governance, metadata management, master data management (MDM), and data quality
- Collaborate with enterprise architects, business stakeholders, and engineering teams to align data strategies with business and technology roadmaps
- Provide architectural oversight for cloud security, compliance, scalability, disaster recovery, and cost optimisation
- Lead architecture reviews, design governance, and technical mentoring across data teams
- Champion the adoption of modern cloud-native and data engineering frameworks across programmes
Requirements
Do you have experience in Metadata?, * Extensive experience in enterprise data architecture and large-scale data transformation initiatives
- Strong expertise in designing cloud-based data platforms using Microsoft Azure and Databricks
- Proven track record in delivering modern data architectures including Lakehouse, Data Warehouse, and real-time analytics solutions
- Strong understanding of data integration, ETL/ELT frameworks, and distributed data processing technologies
- Deep knowledge of data governance, MDM, metadata management, and data quality frameworks
- Experience implementing secure, scalable, and cost-efficient cloud data solutions
- Strong leadership capability with experience in architecture governance, mentoring, and stakeholder engagement
- Excellent communication and strategic planning skills, with the ability to influence senior stakeholders
Key Skills
- Data Architecture
- Cloud Computing & Microsoft Azure
- Databricks & Lakehouse Architecture
- Azure Data Factory, ADLS, Synapse Analytics
- Delta Lake, Event Hub
- Data Governance & MDM
- ETL/ELT & Data Integration, data architecture,cloud computing,azure platform,microsoft azure