Manager, Data Engineering

As a Manager of Data Engineering at dv01, you'll oversee a team responsible for managing the ETL/ELT infrastructure, while collaborating with various internal stakeholders. Your role includes mentoring the team, participating in code reviews, managing large-scale projects, and ensuring our data pipelines are optimized. You'll be pivotal in improving our data platform and supporting the growth of the team and our business initiatives.

To qualify for the Manager of Data Engineering position at dv01, you should have at least 7 years of engineering experience, including a minimum of 2 years in a leadership role within Data Engineering. Familiarity with cloud infrastructure, especially Google Cloud Platform (GCP), and strong communication skills are essential to bridge technical decisions with broader business objectives.

dv01 is committed to the professional growth of its employees. As a Manager of Data Engineering, you will have a pivotal role in fostering this development through regular mentorship, 1:1 discussions, and sponsorship of learning initiatives. The company also provides a generous $1,000 Learning & Development Fund for employees to pursue courses, conferences, and workshops that enhance their skills.

A typical day for a Manager of Data Engineering at dv01 includes leading team meetings, conducting code reviews, collaborating with project management on sprint planning, and communicating with stakeholders regarding technical decisions. You’ll also spend time guiding your team in maximizing their skills while working on both maintenance tasks and innovative greenfield projects to expand data functionalities.

The work culture at dv01 is remote-first, fostering flexibility and support. The company values diversity in thought and experience, encouraging employees to share different perspectives. As a Manager of Data Engineering, you'll thrive in an environment that prioritizes innovation and team collaboration, alongside generous benefits like unlimited PTO and health insurance options.

In prioritizing tasks as a Manager of Data Engineering, it’s essential to assess project impacts, deadlines, and resource availability. Engaging with stakeholders to understand their needs helps in making informed decisions. Employing agile project management techniques can also keep the team focused and adaptable to changing priorities.

When discussing your experience leading a team of Data Engineers, focus on specific examples of how you fostered collaboration, mentored team members, and handled performance challenges. Highlight the importance of regular 1:1s and constructive feedback, demonstrating how you create an environment that encourages continuous improvement.

To ensure high-quality code, I advocate for rigorous code reviews and pair programming sessions. Establishing coding standards and best practices is essential, along with fostering a culture of shared responsibility for code quality. Encouraging team members to take ownership and empowering them to suggest improvements also enhances overall quality.

My approach to mentoring involves understanding each engineer’s strengths and areas for improvement, and then providing tailored guidance. I believe in empowering them to take ownership of their learning by sponsoring initiatives and exposing them to diverse projects that challenge their skills and foster professional growth.

When designing data infrastructure, it’s crucial to consider scalability, reliability, and performance. Analyzing the types of data to be processed and understanding the business requirements are key. Moreover, choosing the right technology stack and ensuring proper documentation play significant roles in creating a robust infrastructure.

I stay updated with industry trends in data engineering by subscribing to relevant publications, attending conferences, and participating in online forums. Networking with other professionals and being part of hackathons or workshops helps me not only learn but also share knowledge with my team, ensuring we stay at the forefront of industry advancements.

Managing stakeholder expectations involves consistent communication and setting realistic timelines. I prioritize involving stakeholders in the project lifecycle, providing regular updates and demo sessions. This transparency fosters trust and alignment, allowing us to adjust priorities proactively when challenges arise.

I have experience with various agile methodologies, including Scrum and Kanban. I utilize Scrum for project management by organizing sprint planning sessions and retrospectives, while Kanban allows for flexibility in task management. Each methodology helps in delivering value to the team and the business effectively.

Yes, one successful project I led involved redesigning our ETL process to enhance data retrieval speed. By implementing optimized data pipelines and collaborating closely with the data analytics team, we reduced the processing time significantly, resulting in quicker insights for our stakeholders. Highlighting measurable outcomes like this demonstrates effective leadership.

Handling conflicts within my team involves open dialogue and mediation. I encourage team members to express their concerns directly and facilitate a discussion to find common ground. Listening actively and involving the team in conflict resolution promotes a collaborative atmosphere and reinforces our team culture.