Staff Principal Data Engineer, Function

• 8+ years of experience in data engineering, with a focus on scalable data architectures
• Strong expertise in GCP (IAM, GCS, Pub/Sub, etc.) and hands-on experience with Spark and Databricks
• Hands-on experience with CDC technologies like Fivetran, or equivalent
• Proficiency in ETL/ELT tools and frameworks (dbt, Apache Airflow, Dataform, etc.)
• Deep understanding of data governance principles, including compliance and security best practices
• Demonstrated success in collaborating across functions to deliver data solutions for analytics, experimentation, or compliance
• A balance of IC execution and leadership skills; you’re equally comfortable rolling up your sleeves or mentoring others
• Familiarity with streaming data architecture, real-time ingestion, and delivery frameworks
• Proficient in SQL and Python for data processing and automation
• Strong problem-solving skills with the ability to work in a fast-paced environment
• Excellent communication and technical storytelling skills — you can align technical work with business value
• Bias Toward Action: Demonstrated ability to take initiative, make decisions under uncertainty, and move projects forward even in the face of ambiguity. We value individuals who are self-starters and ready to act on opportunities and challenges alike
• Entrepreneurial Spirit: Strong adaptability to changing business needs with a knack for building and optimizing processes. Your entrepreneurial mindset will be crucial in navigating the dynamic landscape of our industry, ensuring our platform remains competitive and responsive to user needs
• Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders. Effective communication is vital for cross-functional collaboration and ensuring alignment across our organization
• Remote Work Adaptability: Comfort with remote work environments, demonstrating the ability to stay productive and connected with the team irrespective of physical location
• Continuous Improvement: A willingness to question assumptions and a commitment to continuous improvement. Your openness to feedback and dedication to personal and professional growth will contribute significantly to our collective success

Desirable

• We are seeking an experienced Staff Data Engineer to lead and contribute to the design, development, and optimization of our data infrastructure
• This role requires deep expertise in GCP, data engineering, Change Data Capture (CDC), ETL, governance, and streaming technologies
• You will work closely with data scientists, analysts, and software engineers to ensure seamless data ingestion, processing, and access across the organization
• This is a foundational role within a growing team that requires a hands-on architect who can balance speed, excellence and pragmatism
• We are open to Principal level for the right candidate
• Lead the design, development, and scaling of core data infrastructure using GCP, Spark, Databricks, and Fivetran
• Develop robust and maintainable ETL/ELT workflows that support diverse structured and unstructured data needs across the organization
• Implement and manage Change Data Capture (CDC) pipelines to enable near real-time data replication and synchronization
• Define and enforce data governance and compliance standards, including access control, auditability, lineage, and metadata management
• Build and manage streaming and batch data pipelines to serve high-impact use cases across analytics, product, compliance, and experimentation
• Act as a strategic partner to cross-functional teams (product, analytics, engineering, clinical) to ensure data is accessible, trustworthy, and impactful
• Contribute as a hands-on engineer while mentoring team members and shaping technical best practices
• Drive the long-term architectural vision of our data platform to support current and future business and product needs