Head of Data Engineering

As the Head of Data Engineering at PEXA, your key responsibilities include leading the strategic direction of our Data Engineering team, overseeing the development of the ONEData platform, and ensuring high-quality data solutions. You'll build and mentor a talented team, drive the architectural design of our data infrastructure, and partner with stakeholders to translate their data requirements into effective solutions.

The ideal candidate for the Head of Data Engineering at PEXA should hold a degree in Computer Science, Engineering, or a related field. Extensive leadership experience in Data Engineering at a strategic level is essential, along with a proven track record in designing large-scale data solutions. Proficiency in SQL, Python, ETL frameworks, and familiarity with platforms similar to ONEData is also crucial for the role.

At PEXA, the Head of Data Engineering plays a vital role in cultivating a data-driven culture by emphasizing data governance and compliance, while also developing educational programs that maximize our data assets' value. By leading a high-performing team and championing innovative practices, the Head will drive the adoption of a culture that values data insights and informed decision-making across the organization.

The ONEData platform is central to PEXA's operations, serving as the backbone for data management and analytics. The Head of Data Engineering will be responsible for its strategic development, ensuring that the platform evolves to meet the needs of stakeholders while delivering efficient and high-quality data solutions. This includes designing data processing systems and ETL pipelines that are crucial for extracting insights and driving business decisions.

At PEXA, the Head of Data Engineering can expect significant support in terms of resources and team development. The company prioritizes employee growth through PEXA Academy certifications, mentorship opportunities, and collaborative partnerships with other teams. Additionally, the company is dedicated to offering benefits that promote well-being and work-life balance, helping leaders like the Head of Data Engineering thrive in their roles.

When answering this question, focus on specific examples of how you have built and led high-performing data teams. Share your approach to mentorship, fostering innovation, and ensuring your team delivers quality results. Highlight any relevant methodologies you employed, such as Agile, and the outcomes your team achieved under your leadership.

Be prepared to discuss the various data engineering tools and platforms you are familiar with, such as ETL frameworks, SQL databases, and cloud services. Provide examples of how you've successfully used these tools in your previous projects, emphasizing your role in designing and implementing solutions that meet business needs.

Emphasize the importance of data governance and quality assurance. Discuss the strategies you implement to maintain high data standards, such as regular audits, tests on data pipelines, and clear documentation. Sharing any experiences of how you managed compliance with governance policies will also be beneficial.

Use this opportunity to detail a specific project where you navigated complex data challenges. Discuss the problem-solving approaches you took, the tools you used, and the impact it had on the organization. Highlight the collaborative aspects of the project and how you worked with stakeholders to deliver a successful outcome.

When discussing this question, emphasize the importance of clear communication. Share examples of how you've simplified technical jargon into understandable terms, tailored messages to suit your audience, and ensured that stakeholders were informed and aligned with data initiatives.

Explain your philosophy on fostering innovation within your team. Discuss how you encourage experimentation, support continuous learning, and maintain an open environment where team members feel empowered to share ideas and solutions. Providing examples of initiatives that led to new technologies or processes would be beneficial.

Reflect on current trends and challenges in the data engineering field, such as data privacy issues, compliance with regulations, or the rapid evolution of technology. Share your thoughts on how you would address these challenges and adapt to the ever-changing landscape in your role as Head of Data Engineering.

Discuss your approach to project management and prioritization, including how you evaluate project importance, set timelines, and delegate tasks. Highlight specific tools or techniques you use to keep the team on track and manage stakeholder expectations effectively.

Articulate your vision for the data engineering team's role within PEXA as the company grows and enhances its data platform. Discuss how you believe data engineering can facilitate better decision-making, deliver actionable insights, and support the overall strategic goals of the organization.

This is your chance to express your passion for PEXA's mission and values. Reflect on what drew you to the company, how your experience aligns with the role, and your enthusiasm for making a difference in the property settlement space. Mention any specific aspects of PEXA that excite you professionally and personally.