Data Engineering Manager • Lead

Who you are

You have a strong background in data engineering and leadership, with experience managing teams that build robust data architectures. You understand the importance of data in driving product decisions and user satisfaction, and you thrive in collaborative environments where you can work closely with Product Managers, Data Scientists, and Software Engineers. Your ability to communicate complex technical concepts to non-technical stakeholders is one of your key strengths, allowing you to bridge the gap between data and product development.

You are passionate about leveraging data to inform business strategies and product roadmaps. You have a proven track record of successfully leading data engineering projects that have had a significant impact on company growth. You are comfortable working with large datasets and have experience in building scalable data pipelines that support analytics and reporting needs.

What you'll do

In this role, you will lead the Data Engineering team at Meta, focusing on building the data architecture that supports product launches and informs insights. You will collaborate with cross-functional teams to understand their data needs and ensure that the data infrastructure is aligned with product goals. Your leadership will be crucial in guiding the team to implement best practices in data management and engineering.

You will oversee the development of data pipelines and ensure data quality and accessibility for analytics purposes. Your role will involve mentoring team members, fostering a culture of innovation, and driving the adoption of cutting-edge technologies in data engineering. You will also be responsible for setting strategic direction for the data engineering function and ensuring alignment with overall business objectives.

What we offer

At Meta, you will have the opportunity to work with some of the brightest minds in the industry and tackle complex data challenges. You will be part of a dynamic team that values collaboration and innovation. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. Join us in shaping the future of data-driven decision-making at one of the world's leading tech companies.