Structure Networks, Inc.

Data Engineer

• Define and execute a unified enterprise data strategy aligned with corporate objectives across the full Structure ecosystem (pre‑clinical, clinical, G&A)
• Lead modernization of data platforms—cloud data lakes/warehouses, data mesh or lakehouse architectures, master data solutions, and advanced analytics infrastructure
• Establish data governance frameworks encompassing privacy, compliance (e.g., GxP, 21 CFR Part 11, HIPAA), and high data quality standards
• Architect scalable, secure, and high-performance infrastructures for structured and unstructured data with clear data models, taxonomies, and semantic layers
• Lead implementation of robust ETL pipelines, real-time ingestion (streaming), integration, and transformation processes across internal and external sources
• Establish data governance with legal, compliance, and business teams
• Enable data cataloging, lineage, and metadata management for easy discovery and tracking
• Apply CI/CD, observability, monitoring, and reliability to data pipelines in regulated environments
• Ensure operational excellence through robust SLAs, effective incident management, and scalable performance
• Collaborate with R&D, Clinical, Commercial, and G&A teams to deliver tailored data solutions supporting scientific insight, clinical analytics, commercial intelligence, and administrative decision-making
• Facilitate self-service analytics and data democratization initiatives
• Integrate data platform capabilities to support AI/ML lifecycle—data provisioning, ML Ops, model feature stores, deployment, and monitoring
• Build, mentor, and inspire a high-performing team of architects, engineers, and operations professionals
• Cultivate a data-driven culture of innovation, quality, accountability, and cross-functional collaboration

Senior Director, Data Engineering – Architecture