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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Principal Data Engineer - **Company:** Beone Medicines Ltd. - **Location:** San Mateo, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Code Generation, Software Quality, Code Review, Information Systems, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Software Design Patterns, Distributed Systems, Python (Programming Language), Metadata, Meta-Data Management, Performance Tuning, Software Architecture, Role-Based Access Control, Cloud Services, Standard Sql, Software Construction, Software Engineering, SQL Databases, Generative AI, Git, Kubernetes, Information Technology, Bicep, Data Management, Restful APIs, Terraform, Docker, Databricks - **Published:** August 9, 2026 - **Apply:** https://dejobs.org/x/x/A7743D3DF0064409AEC465BCEB9C9BD4/job/ ## About the Role * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred). * 7+ years of experience in Data Engineering, Software Engineering, or Data Platform Engineering. * Extensive experience designing enterprise-scale cloud data platforms and data architectures. * Strong expertise in conceptual, logical, and physical data modeling. * Expert-level programming skills in Python and SQL. * Hands-on experience with Databricks, Azure, AWS, Docker, Kubernetes, Git, REST APIs, and CI/CD. * Strong understanding of software architecture, design patterns, distributed systems, and secure data platform design. * Demonstrated ability to lead highly complex technical initiatives through influence rather than direct people management. * Excellent communication, stakeholder management, and technical leadership skills., * Experience in pharmaceutical, biotechnology, healthcare, or other regulated industries. * Experience with Databricks Unity Catalog, enterprise data governance, metadata management, and observability. * Experience with Infrastructure as Code (Terraform, Bicep, or similar). * Experience applying Generative AI to software and data engineering. Leadership Expectations ## Description We are seeking a Senior Principal Data Engineer to serve as one of the highest-level technical leaders within the Data Engineering organization. Responsible for defining technical strategy, architecting enterprise-scale data platforms, and delivering scalable, secure, and high-quality data solutions. This role combines deep expertise in cloud data platforms, software engineering, enterprise data architecture, data modeling, AI-assisted development, and technical governance. The successful candidate will influence technical direction across multiple business domains, establish engineering standards, and mentor engineers while remaining hands-on with architecture and solution design., Enterprise Data Architecture * Design and evolve enterprise-scale data platform architecture supporting analytical, operational, and AI workloads. * Define reusable engineering frameworks, reference architectures, and technical standards. * Drive long-term platform strategy focused on scalability, security, performance, and maintainability. Technical Leadership * Lead architecture reviews, technical design, and engineering governance for strategic initiatives. * Partner with engineering leadership to define technology roadmaps and drive engineering best practices. * Influence technical decisions across multiple teams without direct people management. Data Engineering & Data Modeling * Design scalable ETL/ELT frameworks, enterprise data pipelines, and logical and physical data models. * Develop reusable, metadata-driven data integration frameworks. * Establish standards for data modeling, metadata management, lineage, and performance optimization. AI-Driven Engineering * Champion AI-assisted software development across the engineering organization. * Evaluate and implement AI coding assistants and engineering productivity tools. * Build intelligent engineering accelerators, including: * AI-assisted code generation * Automated documentation * Code review assistance * Test generation * Data quality validation * AI-powered engineering copilots * Drive engineering productivity and innovation through Generative AI. Cloud & Platform Engineering Provide technical leadership across modern cloud technologies including: * Databricks * Azure * AWS * Docker * Kubernetes * Python * SQL * Git * REST APIs * CI/CD Data Governance & Engineering Excellence * Design secure data platforms with enterprise governance, metadata, lineage, and RBAC/ABAC access controls. * Establish software engineering best practices including code quality, testing, automation, observability, and reusable components. Mentorship & Collaboration * Mentor senior engineers and principal engineers while fostering engineering excellence. * Partner with Product Management, Data Science, Analytics, Data Governance, Enterprise Architecture, and Infrastructure teams to deliver strategic data capabilities., The Senior Principal Data Engineer is expected to set technical direction, establish engineering standards, accelerate engineering productivity through automation and AI, mentor engineers, and serve as a trusted technical advisor to engineering and business leadership. Success Metrics Success will be measured by the scalability, reliability, and security of enterprise data platforms, delivery of strategic initiatives, adoption of reusable engineering frameworks, improvements in engineering productivity through AI, platform quality, and technical influence across the organization. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe)