- Lead client discovery workshops to assess 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 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 data analysis and technical designs into recommendations and business value for client stakeholders.
- Mentor engineers and consultants, conduct technical reviews, and promote continuous improvement.
- Support proposals, pitches, workshops, and strategic initiatives, and identify opportunities to expand client engagements.
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