Data Engineering Manager • Lead

Who you are

You have a strong background in data engineering and have successfully led teams in building robust data architectures that drive insights and support product development. Your experience includes working closely with cross-functional teams, including Product Managers and Data Scientists, to ensure that data solutions align with business goals. You are adept at using cutting-edge technologies and have a passion for leveraging data to enhance user satisfaction and company growth.

You possess excellent leadership skills and have a proven track record of mentoring and developing team members. You thrive in collaborative environments and are skilled at communicating complex technical concepts to non-technical stakeholders. Your analytical mindset allows you to identify opportunities for improvement and innovation within data processes.

What you'll do

In this role, you will lead the Data Engineering team, overseeing the design and implementation of data architectures that support product launches and analytics initiatives. You will work closely with Product Managers to understand their data needs and ensure that the data infrastructure is capable of delivering actionable insights. Your leadership will be crucial in driving the team's efforts to optimize data pipelines and enhance data quality.

You will also collaborate with Data Scientists to develop data models and analytics solutions that inform product decisions. Your role will involve setting technical direction, establishing best practices, and ensuring that the team adheres to high standards of data governance and security. You will have the opportunity to work with one of the richest data sets in the world, making a direct impact on product development and user experience.

What we offer

At Meta, you will be part of a dynamic team that values innovation and collaboration. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in a supportive environment where your contributions are recognized and valued. Join us in shaping the future of data-driven products and enhancing user satisfaction through impactful data solutions.