Structure Therapeutics · 3 months ago
Sr. Director, Data Engineering & Architecture
South San Francisco, California, United States
Full-time
Onsite
Senior Level, Lead/Staff, Director/Executive
$265K/yr - $334K/yr
10+ years expStructure Therapeutics develops life-changing medicines for patients using advanced structure-based and computational drug discovery technology. The Senior Director, Data Engineering & Architecture will be responsible for shaping and implementing the organization's comprehensive data platform strategy, providing leadership in data architecture and engineering while supporting AI initiatives to enhance drug discovery efforts.
BiotechnologyHealth CareMedicalPharmaceuticalProduct Research
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
Align with Structure’s enterprise AI strategy to enable predictive modeling, translational research platforms, and intelligent automation across functions
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
Qualification
Required
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
Track record in leading cross-functional teams and transformations of data architecture in complex, matrixed environments
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)
Preferred
Biotech/pharma experience, especially with scientific/clinical datasets
Understanding of drug development (pre-clinical and clinical) a plus
Familiarity with FAIR principles, translational research data interoperability
Track record in AI/ML enabling data infrastructure (feature stores, model pipelines)
Publications, contributions, or thought leadership in enterprise data architecture or AI in biotherapeutics
Benefits
Bonus
Equity
Benefits
Company
Structure Therapeutics
Structure Therapeutics specializes in the discovery and development of drugs against a type of targets called GPCR.
51-200 employees
Funding
Current Stage
Public CompanyTotal Funding
$1.77BKey Investors
Biotechnology Value FundQiming Venture Partners
2025-12-09Post Ipo Equity· $747.5M
2024-06-05Post Ipo Equity· $547.4M
2023-09-29Post Ipo Equity· $300M
Leadership Team
Raymond Stevens
Chief Executive Officer
Jun Yoon
Chief Financial Officer
Recent News
2026-01-07
2026-01-07
MarketScreener
2026-01-06
Company data provided by crunchbase