Director of Data Engineering

Come join Deepwatch’s team of world-class cybersecurity professionals and the brightest minds in the industry. If you're ready to challenge yourself with work that matters, then this is the place for you. We're redefining cybersecurity as one of the fastest growing companies in the U.S. – and we have a blast doing it!

Who We Are

Deepwatch is the leader in managed security services, protecting organizations from ever-increasing cyber threats 24/7/365. Powered by Deepwatch’s cloud-based security operations platform, Deepwatch provides the industry’s fastest, most comprehensive detection and automated response to cyber threats together with tailored guidance from dedicated experts to mitigate risk and measurably improve security posture. Hundreds of organizations, from Fortune 100 to mid-sized enterprises, trust Deepwatch to protect their business. 

Our core values drive everything we do at Deepwatch, including our approach to tackling tough cyber challenges. We seek out tenacious individuals who are passionate about solving complex problems and protecting our customers. At Deepwatch, every decision, process, and hire is made with a focus on improving our cybersecurity solutions and delivering an exceptional experience for our customers. By embracing our values, we create a culture of excellence that is dedicated to empowering our team members to explore their potential, expand their skill sets, and achieve their career aspirations, which is supported by our unique annual professional development benefit.

Deepwatch recognition includes:

• 2023, 2022 and 2021 Great Place to Work® Certified
• 2023 and 2022 Forbes America’s Best Startup Employers
• 2023 and 2022 Fortress Cybersecurity Award
• 2023 $180M Series C investment from Springcoast Capital Partners, Splunk Ventures, and Vista Credit Partners of Vista Equity Partners
• 2022 Cigna Healthy Workforce Silver Designation
• 2022 Cybersecurity Excellence Award for MDR

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.

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. 

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.

In this role, you’ll get to:

• 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.

To be successful in this role, you’ll need to demonstrate:

• 10+ years of planning, designing, developing and delivering large-scale data engineering solutions
• 5+ years o