- Design, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving.
- Collaborate with the Machine Learning Engineering team to support model training, evaluation, and serving.
- Identify opportunities to improve team processes, tooling, and ways of working.
- Contribute to thought leadership, internal knowledge sharing, and community of practice efforts.
- Translate business needs into product-minded data solutions that drive measurable business value.
- Integrate marketing data sources, including GA4, advertising platforms, CRMs, and CDPs, into reliable, well-modeled datasets.
- Establish data engineering standards, documentation, and monitoring practices for data quality and reliability.
- Apply AI-powered coding, agentic engineering, and AI-enabled workflows to accelerate delivery.
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