The Very Group

Senior Data Solutions Architect

The Very Group

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Senior

Tech Stack

ApacheAWSCloudKafka

About the role

  • 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
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