Implement policies and standards that guide technology delivery
Design solutions aligned to business, technology and data strategies
Shape architectural design and technology roadmaps for complex, high-volume, mission-critical products and services
Contribute to strategic thinking and ensure technology standards are created and adhered to
Participate in Performance Unit and TVG-wide governance processes and forums
Address complicated risks, issues and external dependencies
Deliver and manage architecture change throughout the product life cycle
Lead complex technology delivery using Agile and Lean practices in a fast-paced environment
Collaborate with Product Managers, Delivery and Technical Leads to influence technology and data roadmaps
Represent and promote the architectural vision inside and outside the Very Group
Design and implement modern cloud-based data architectures (data lakes, data warehouses, real-time streaming, CRM, CDP, campaign and ad tech integrations)
Ensure data solutions are performant, scalable and cost-efficient and enforce architectural standards
Support and drive the organisation’s data and marketing strategy, maintaining roadmap and advocating a data-driven culture
Bridge technical and non-technical stakeholders, mediate and build consensus
Provide commercial and financial input including business case contributions that reflect technology and business benefits
Requirements
Proven track record of delivery in both iterative and continuous delivery approaches
Expertise in designing high-quality, data-centric solutions at conceptual, logical, and physical levels
Experience in data analysis and modelling, including designing and maintaining data models at both enterprise and solution levels
Ability to operate in a complex stakeholder and technology environment
Significant experience of building, integrating, maintaining and managing complex data architectures (both build and bought), ideally across multi-cloud environments
Experience and knowledge of the Marketing domain and capabilities – Customer Journey management, digital marketing channel management, marketing campaign management and performance monitoring
Experience and knowledge of marketing platforms and data pipelines – CRM, marketing automation tools, Customer Data Platforms, analytic tools, tag management and AdTech platforms
Expert level solution design experience across the full technology stack, including on-prem, public and hybrid cloud
Expert level experience of building, integrating and migrating service / component- based architectures across modern and legacy platforms
Practical experience of successfully delivering change in a lean / agile / DevSecOps environment
Ability to lead collaboration and influence decision making with strong stakeholder and 3rd party management skills
Computer Science degree or relevant experience (preferable)
A background in a hands-on data engineering role is preferred
Large AWS data implementations (S3, EMR, Glue, RDS, etc)
Apache Iceberg or minimum Delta Lake (DataLake / Lakehouse Architecture)
Fivetran / CDC such as HVR / AWS Kafka (Data integration and ingestion pipelines)
Teradata (DWH)
Nice to have: Power BI / SAS - DI & EG / Alation / DBT
Right to Work, credit, CIFAS and potentially DBS checks may be required; disclose any unspent criminal convictions