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.
## Job Responsibilities
- Collaborate with sales and pre-sales to clarify requirements and design viable solutions and drive pursuits with technical stakeholders
- Lead complex data programs, navigating architectural concerns and enabling delivery teams to deliver on accepted standards within time and budget
- 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
- 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
- Communicate both high- and low-level technical details of data architecture to engineers and business stakeholders
- Collaborate, influence and guide at the intersection of analytical and operational architecture
- Be responsible for the technical design of data governance, data security and data privacy to fulfill compliance requirements
- Seamlessly incorporate data quality frameworks and processes to address and fulfill requirements as set out in strategy and acceptance criteria
- Represent Thoughtworks in various online and offline forums, including events and conferences
## Job Qualifications
Technical Skills:
- Experience in defining and implementing different types of data architecture, analyzing trade-offs and defining technology stacks
- Experience in designing application system architecture based on big data, artificial intelligence and related technologies
- Rich experience in building, maintaining and tuning data platforms, and extensive experience in data warehouse design, data modeling, data monitoring and operations
- Experience with common design patterns, application frameworks and foundational/theoretical knowledge (distributed systems, data intensive applications)
- Passionate about data infrastructure and operations, with expertise working in cloud environments
- Proficient in common open-source distributed computing/storage technologies (YARN, Impala, Spark, MapReduce, Kafka, Flink)
- Experience in defining, developing and enabling data-driven techniques, advanced analytics, ML/AI and data mining applications in enterprise
- Experience in developing real-time and low-latency data streaming solutions
- Experience in productionizing machine learning models and applying techniques, tools and processes
Professional Skills:
- Extensive pre-sales experience and proven ability to independently drive complex pursuits and create winning commercial proposals
- Understanding of stakeholder management and ability to liaise between clients and key stakeholders
- Native-level German speaker (C1 German) comfortable and experienced to drive consensus with technical stakeholders
- Resilient in ambiguous situations and able to adapt to approach challenges from multiple perspectives
- Good understanding of business and communication, collaboration skills, strong learning and summarizing abilities
- Don't shy away from risks or conflicts; take them on and skillfully manage them
- Coach, mentor and motivate others; aspire to influence teammates to take positive action
- Enjoy influencing others and advocate for technical excellence while being open to change
- Cultivate strong partnerships naturally with understanding of relationship building importance