Staff Data Engineer – Data Platform

Role Overview

• Lead 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

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent professional experience
• 8+ years of experience in data engineering, including at least 2–3 years operating in a senior or staff-level role with ownership of platform-level decisions
• Proven experience building or significantly transforming enterprise data infrastructure from the ground up
• Experience working with healthcare-related data such as EHR, claims, or clinical datasets
• Strong understanding of HIPAA and GDPR compliance and data privacy requirements
• Demonstrated ability to independently lead projects end-to-end and deliver results in fast-paced environments
• Strong hands-on experience with modern data platforms and cloud technologies including Microsoft Fabric, Azure Data Services, Google BigQuery, Databricks, or equivalent solutions
• Deep understanding of modern data modeling and architectural approaches including medallion architecture, Kimball modeling, lakehouse, and data mesh concepts
• Strong ownership mindset with the ability to make independent technical decisions in fast-moving environments
• Highly proactive approach with strong problem-solving and execution capabilities
• Excellent communication and stakeholder management skills, including the ability to explain technical concepts to non-technical audiences
• Comfortable collaborating across European and US time zones with international stakeholders

Tech Stack

• AWS
• Azure
• BigQuery
• Cloud
• Google Cloud Platform

Benefits

• Equal Opportunity Employer
• Assistance for disabled applicants