Director of Data Engineering, deepwatch

• The Director of Data Engineering is a seasoned engineering leader who has previously managed teams of data engineers, developed existing talent and hired new talent into the team
• The ideal candidate prioritizes well, communicates clearly, and understands how to drive a high level of excellence across the team
• The Director of Data Engineering has a proven track record of efficient and high quality delivery, rigorous testing, deep monitoring, and experience with large scale data application deployments in cloud environments
• The business operates at a very large data scale and on critical customer workloads, therefore a discipline around operational excellence is essential
• To be successful in this role you will need an established background in managing and leading data teams, interacting with customers, and building cloud-scale distributed data platforms in multi-instance or multi-tenant architectures
• You will need strong interpersonal skills, including the ability to discover the requirements for both internal and external customers
• 10+ years of planning, designing, developing and delivering large-scale data engineering solutions
• 5+ years of data engineering team management experience
• Experience designing and developing large scale, high-traffic applications
• Experience partnering with product or program management teams
• Experience managing multiple concurrent programs, projects and development teams in an Agile environment
• Experience with multi-instance or multi-tenant architectures

Desirable

• The data team includes engineers and architects that deliver solutions that support both internal and external customers
• The Director of Data Engineering is responsible for building data applications in a fast-paced engineering environment that values high-quality software design and rapid iteration
• Ideate:
• Identify areas of improvement in our existing frameworks, tools, and processes and deploy processes to make them better
• Keep up to date with technical skills to contribute meaningfully to architecture discussions
• Innovate:
• Help innovate and invent new value-added data solutions, driving them to fruition through technical project management skills to deliver product roadmap items
• Production:
• Enjoy building large scale distributed data solutions (multi-instance or multi-tenant) that enables all downstream mission critical workloads to function without interruption
• Interact:
• Work with Deepwatch’s internal stakeholders to define business and functional requirements and deliver robust, scalable, operable solutions
• Problem Solve:
• Run a tight, lean, and efficient operation, breaking down roadblocks, and measuring success along the way
• Leverage metrics, monitoring and alarming to measure and improve the operational processes and performance of the team
• Lead:
• Enjoy being a people manager that builds, motivates and mentors data engineers and architects
• You should have a proven track record in recruiting and retaining top talent, with strong day-to-day people and performance management tasks