Owning and evolving the end-to-end data architecture, aligned to Cooper Parry’s strategy and enterprise standards
Defining architectural patterns, principles, and standards for: Data ingestion, Data transformation, Data modelling, Analytics and reporting
Acting as a trusted advisor to senior stakeholders on data architecture decisions
Designing and oversee solutions using Microsoft Fabric, including: OneLake Lakehouse and Warehouse architectures, Data Pipelines, Spark / Notebooks, Semantic models
Ensuring platform scalability, performance optimisation, cost efficiency, and security
Guiding the transition from legacy platforms where applicable
Providing technical leadership across data engineering practices, including: Batch and streaming data pipelines, ELT/ETL frameworks, CI/CD for data platforms
Architecting robust integrations from internal and third-party systems
Defining data quality, validation, and monitoring standards
Defining and enforcing: Data governance frameworks, Master and reference data strategies, Access control and role-based security
Ensuring compliance with GDPR and organisational security standards
Promoting high data quality and lineage transparency
Working closely with: Data Engineers, Analytics Engineers, BI Developers, Product and Business stakeholders
Mentoring and upskill team members
Reviewing solution designs and providing constructive architectural guidance
Requirements
Proven experience as a Data Architect or Senior Data Engineer with architectural responsibility
Strong hands-on experience with Microsoft Fabric
Deep understanding of: Modern data lakehouse architectures, Dimensional and analytical data modelling, Data pipeline orchestration
Strong SQL skills and experience with distributed data processing
Experience designing enterprise-scale analytics platforms in Azure
Ability to translate business requirements into robust technical solutions
Experience integrating and modelling professional services data (ideally)
Familiarity with Power BI semantic models and DAX (ideally)
Experience with Azure ecosystem services (e.g. Azure AD, monitoring, networking)(ideally)
Experience operating in agile product or platform teams (ideally)
Experience designing data architectures and integrations for CRM and professional services platforms, such as Salesforce or similar systems, and understand common CRM and services data challenges, including: Complex relational structures, Slowly changing dimensions, Data duplication and reconciliation across systems (ideally)
Tech Stack
Azure
ETL
Spark
SQL
Benefits
A flexible approach to work
balancing working from home, in office or with clients
A generous holiday entitlement
An enhanced parental leave policy
An enhanced pension scheme
No dress code – just “wear something!”
A multi-award-winning wellbeing offering to support your physical, mental, spiritual, and financial health
Volunteering opportunities to work closer with local communities and charities