- Design and build scalable, conformed data models and analytical layers that serve experimentation and company KPIs.
- Own the connectors that land data in the warehouse end to end, from replicated backend tables to custom connectors you build yourself and third-party managed sources.
- Manage infrastructure as code and deployment workflows across AWS and GCP, using Kubernetes and OpenTofu (Terraform) to ship changes safely.
- Own the pipelines you build, monitoring freshness and responding to failures with urgency.
- Act as a senior voice in data architecture decisions, from selecting table types and datastores to designing the schemas from backend to semantic layers.
- Partner directly with analysts, ML engineers, and product stakeholders to turn business questions into data models they can self-serve from.
- Champion high engineering quality through testing, code reviews, observability, and thoughtful operational practices.
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