# Principal Data Engineer (m/f/d)
## Role Responsibilities
Principal data engineers at Thoughtworks are strategic leaders who spearhead data engineering initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives.
### Job Responsibilities
- Collaborate with sales and pre-sales to clarify requirements, design viable solutions and drive pursuits with technical stakeholders
- Establish a clear vision and direction for the data paradigm and practices, aligning them with the overall business strategy
- Partner with executive-level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality
- Advise on complex data platform programs, coordinating cross-cutting architectural concerns and providing client-facing technical leadership and guidance as a data subject matter expert
- Create, design and develop intricate data processing pipelines that address clients' most challenging problems
- Collaborate with data scientists to design scalable implementation and production of their models
- Write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines
- Design and implement strategy around data governance, data security and data privacy to support business and compliance requirements
- Represent Thoughtworks in various online and offline forums, including events and conferences
## Role Qualifications
### Technical Skills
- Extensive pre-sales experience and proven ability to independently drive complex pursuits and create winning commercial proposals
- Experience leading enterprise data strategy, system design and end-to-end implementation of large-scale technical solutions
- Native-level Dutch speaker (C1) comfortable driving consensus and managing expectations with senior technical stakeholders
- Hands-on experience in system design using Domain-Driven Design principles for complex enterprise organizations with multiple domains
- Experience designing Big Data architectures, building and operating data pipelines, and managing data storage within distributed systems
- Deep understanding of data modeling and practical experience with modern data engineering tools, platforms and cloud warehousing solutions
- "Hands-on" leader—equally comfortable writing production