Back to jobsLead the architecture and development of a modern, scalable enterprise data platform across cloud infrastructure, ingestion, transformation, storage, and serving layers
Own end-to-end delivery of platform initiatives, including scope definition, roadmap planning, dependency management, and execution
Establish data modeling standards, ingestion frameworks, governance practices, and scalable engineering patterns
Collaborate cross-functionally with engineering, analytics, product, and business stakeholders to translate business needs into scalable technical solutions
Design and optimize modern data architectures including lakehouse, data warehouse, and data mesh approaches
Evaluate, select, and implement modern data technologies and cloud platforms such as Azure, AWS, GCP, Databricks, Microsoft Fabric, and BigQuery
Contribute to strategic planning and long-term roadmap development for the enterprise data platform
Provide technical leadership and mentorship while fostering a culture of engineering excellence and continuous improvement
Proactively identify risks, gaps, and optimization opportunities and drive practical solutions
Collaborate effectively with stakeholders across Europe and the US in a global environment spanning multiple time zones
Ensure data platform architecture and processes comply with HIPAA and GDPR requirements from the earliest stages of development
Translate complex business and clinical data requirements into pragmatic, scalable technical solutions
Follow company policies, processes, and administrative requirements
Perform additional responsibilities as assigned
