- Design and build a scalable lakehouse data platform, from raw data ingestion through downstream consumption layers.
- Define end-to-end data lifecycle architecture for analytics, machine learning, and business intelligence use cases.
- Build and review production-grade data pipelines, frameworks, and platform services.
- Clean, transform, and resolve entities across unstructured legal and historical records.
- Provision, manage, and scale cloud infrastructure as code for repeatable platform deployments.
- Set engineering best practices, code quality standards, and architectural guardrails.
- Mentor engineering team members on data engineering practices and platform standards.
- Translate business requirements into technical solutions and present and defend architectural decisions to client leadership and stakeholders.
- Collaborate with the AI architecture counterpart and product owner in a lean delivery team.
AWSGCPAzure+3 more