Data Engineer developing sophisticated data integration frameworks for SketchUp product growth by Trimble. Spearheading data solutions with Python and SQL for actionable insights.
SI
Onsite Senior Director, Data Engineering – Architecture
Posted 1 hour ago
About the role
- Senior Director managing data engineering and architecture for Structure Therapeutics. Leading data strategy and supporting AI initiatives in biopharmaceutical innovations.
Responsibilities
- 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
Requirements
- Advanced degree (MS, PhD preferred) in Computer Science, Data Science, Engineering, Bioinformatics, or related field
- 10+ years in data engineering/architecture roles, with at least 5+ years leading enterprise-scale platforms in biotech, pharma, healthcare, or regulated industries
- Expertise with modern data architectures (data lakes, warehouses, mesh, lakehouses), cloud platforms, and modernization strategies
- Hands-on experience with ETL/ELT, streaming ingestion, data modeling, and platform performance optimization
- Familiarity with CI/CD, observability, ML Ops tooling for scalable and compliant operations
- Experience with modern cloud-based data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure)
- Deep understanding of data governance, MDM, and integration best practices
- Ability to influence senior executives, drive cross-functional alignment, and lead through ambiguity
- Strong stakeholder management: able to translate business needs into technical delivery and gain alignment across functions
- Excellent verbal and written communication skills
- Deep understanding of regulated data processes—data integrity, auditability, and compliance (GxP, HIPAA, GDPR)
Benefits
- bonus
- equity
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