Director of Data Engineering, Confluent

• Are you passionate about pushing the boundaries of what's possible with data?
• Do you dream of driving business growth through cutting-edge data infrastructure and innovative solutions?
• Bachelor or advanced degree in Computer Science, Engineering, or related technical discipline
• 10+ years of experience in the Data Engineering domain in the industry, from companies with a strong data driven culture
• 5+ years of experience managing a Data Engineering team, with a focus on partnering with Data Science, enterprise systems, and Business Unit embedded operations teams
• Lead and manage the data engineering team, fostering a collaborative and high-performance culture
• Hands on experience with GCP including BigQuery & Airflow
• Broad experience with other cloud native data solutions, tools, and infrastructure
• Solid understanding of DevOps practices, including Infrastructure as Code (IAC), containerization (Docker/Kubernetes), and CI/CD pipelines
• Design, build, and maintain scalable data pipelines using Airflow and other orchestration tools
• Ensure data governance, documentation, lineage, and compliance with industry standards and regulations
• Experience with Kafka in a production environment
• Working knowledge of programming languages, i.e. SQL, Python, Java/Scala
• Strong ability to communicate cross-functionally, derive requirements and architect; to synthesize, simplify and explain complex problems to different types of audiences, including executives

Desirable

• Join our team and help us build the central nervous system of our company, empowering better and faster decision-making through world-class data engineering and data science
• As a Director of Data Engineering, you will build the strategy and lead a team of high-performing Data Engineers, to execute a vision that will enable scalable, agile, and impactful data science and analytics across the company
• Recruit, manage, and develop a global team of data engineers, data architects, and leaders
• Build a robust, reliable, and 24x7 available internal data platform to power Confluent’s analytic, ML, and AI use case
• Own and drive the vision, strategies and roadmap of Data Engineering, and lead the team to execute. Specifically, be responsible for building:
• Highly available, scalable and easy to use Data warehouse and foundational datasets, to enable self-serve BI reporting and analytics across the company
• Robust, highly available, and cost-effective Data systems and tools
• Streaming analytics infrastructure and data products, to build Confluent on Confluent
• Data governance and quality control measures
• Partner with BI, Data Science and x-functional stakeholders and partners, including Product, Engineering, Business Systems, and function operation teams, to align on Data Engineering teams’ dependencies, roadmap, priorities, engagement model, and key processes
• Be a thought leader, identify high impact project opportunities and process changes, and improve productivity of the overall Data Team
• Oversee the design and maintenance of scalable and reliable data architecture