• Maintain and manage website scraping configurations using Python. • Monitor scraping configurations for errors and potential crashes. • Oversee retrieved data to detect potential issues and blockages. • Coordinate with stakeholders to understand scraping task requirements and report issues. • Prepare and share periodic reports on scraping activities with stakeholders. • Develop necessary pipelines to ingest data into the Datalake and perform required transformations.

• Technical leadership and guidance of a team of infrastructure and data engineers • Strategic development and refinement of a forward-looking Data Mesh architecture • Managing data platform scaling and ensuring structural integrity within the cloud ecosystem • Close collaboration with cross-functional teams to support data migrations toward a modern Lakehouse environment

• Use your expertise to drive data and AI architecture and technology decisions • Provide insights that influence the overall strategy and plan for a scalable data solution or product that meets business needs • Educate customers on how to craft highly scalable, flexible, resilient, secure, and cost-effective architectures • Link technology with measurable business value and outcome • Identify and investigate new tools and technologies • Translate client needs into digestible requirements

• Dive deep into blockchain data (Ethereum and other L1/L2s) and enrich it with insights from various data providers. • Build pipelines and infrastructure to power a variety of analytics and dashboards. • Work across teams, design new features, and take ownership of sourcing, verifying, and maintaining high-quality data.