Data Architect

• Lead client discovery workshops to assess existing data platforms, identity frameworks, integrations, and business requirements
• Design scalable data architectures integrating Snowflake, Databricks, mParticle, Hightouch, Braze, and wider MarTech ecosystems
• Define data models, identity resolution, consent, governance, and data quality standards across multiple brands and markets
• Develop technical roadmaps, scope delivery phases, estimate effort, and secure client approval before implementation
• Evaluate data technologies and tools against business requirements, performance expectations, and commercial objectives
• Guide Data Engineering teams in implementing and optimising batch, event-driven, and low-latency data pipelines
• Establish data validation, monitoring, performance optimisation, and engineering best practices
• Translate complex data analysis and technical designs into clear recommendations and business value for client stakeholders
• Mentor engineers and consultants, conduct technical reviews, and promote continuous improvement across delivery teams
• Support proposals, pitches, workshops, and strategic initiatives while identifying opportunities to expand client engagements