Principal Data Architect (m/f/d)

Principal data architects at Thoughtworks play a key part in developing modern data architecture approaches to meet business objectives and provide end-to-end data solutions.  They are responsible for enabling clients and Thoughtworks teams to align on outcomes that support the vision painted by data strategists. They lead the design and architecture of the initiatives which are key to delivery of solutions to budget and timelines. They also guide and mentor delivery teams on  architectural decisions to deliver to the solution agreements. Job responsibilities You will collaborate with sales and pre-sales to clarify requirements and design viable solutions  and drive pursuits with technical stakeholders. You will lead complex data programs, navigating architectural concerns and enabling delivery teams to deliver on accepted standards within time and budget. You will provide client-facing technical leadership and guidance on topics related to data architecture, engineering, and analytics to advise clients on bringing their data strategy to life. You will interact with client counterparts from the enterprise architecture group and lead the delivery, alignment and sign-off of key architectural decisions, trade-offs and ways of working. You will communicate both high- and low-level technical details of data architecture to engineers and business stakeholders. You will be able to collaborate, influence and guide at the intersection of analytical and operational architecture. You will be responsible for the technical design of data governance, data security and data privacy to fulfill compliance requirements. You will seamlessly incorporate data quality frameworks and processes to address and fulfill requirements as set out in strategy and acceptance criteria. You will represent Thoughtworks in various online and offline forums, including events and conferences. Job qualifications Technical Skills You have experience in defining and implementing different types of data architecture, analyzing trade-offs and can define technology stacks for different types of data architecture. You have experience in designing application system architecture based on big data, artificial intelligence and related technologies. You have rich experience in building, maintaining and tuning data platforms, as well extensive experience in data warehouse design, data modeling, data monitoring and operations. You have experience with common design patterns, application frameworks and foundational/theoretical knowledge (i.e.: distributed systems, data intensive applications, etc.). You are passionate about data infrastructure and operations, with expertise working in cloud environments. You are proficient in common open-source distributed computing/storage technologies, including but not limited to YARN, Impala, Spark, MapReduce, Kafka and Flink, with practical project architecture experience. You have experience in defining, developing and enabling data-driven ...