Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

The Data Team strives to build out the central nervous system for the whole company in order to drive better and faster decisions via data. Our charters include both Data Engineering and Data Science. It is our responsibility to build world class data infrastructure and tooling to enable company-wide analytics, create insights & models and data products to drive business growth at scale.

As a Director of Data Engineering, you will lead and grow a team of high performing Data Engineers and Software Engineers. You will articulate and execute the vision of Data Engineering, to build the best-in-class data infrastructures, data foundations and tooling that enables company wide data science and analytics work in a scalable and agile way.

What You Will Do:

• Recruit, manage, and develop data engineers, software engineers and leaders on the Data Engineering team
• 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
• Partner with 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

What You Will Bring:

• 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
• Working knowledge of modern data stack and infrastructures, i.e., Cloud Data warehouse, data integration tools, Airflow, DBT, Tableau, etc. 
• Working knowledge of programming languages, i.e. SQL, Python, Java/Scala
• Experience with Kafka in a production environment
• Strong ability to communicate cross-functionally, derive requirements and architect; to synthesize, simplify and explain complex problems to different types of audiences, including executives

What Gives You An Edge:

• Familiarity with AWS, GCP or Azure cloud environments and technologies
• Experience with enterprise business systems such as Salesforce, Marketo, Zendesk, etc.
• Experience with other Kafka components such as Connect and ksqlDB
• Product mindset to understand business needs, and come up with scalable engineering solutions

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At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.

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