Lead a dynamic Data Engineering team focused on building and scaling foundational analytical data products. This pivotal role involves partnering with stakeholders to shape data strategies, enhance data quality, and deliver robust data models and platforms essential for company-wide decision-making.

As a Senior Manager, you'll be at the forefront of data architecture, engineering excellence, and driving significant business impact. The position offers a unique opportunity to influence the direction of data analytics within a growing organization.

Build, mentor, and develop a high-performing team of data engineers. Provide expert technical guidance and support for complex, multi-stakeholder projects.

Collaborate across teams to gain domain expertise and ensure project delivery. Engage in technical and architectural discussions, driving key decisions and fostering innovation.

Inspire operational excellence and influence best practices across Data Engineering. Champion talent growth and empower team members to achieve their full potential.

Requires a Bachelor's or Master's degree in Computer Science or a related field, with a strong foundation in Data Engineering or Software Engineering (6-8 years as an individual contributor).

Possess over 4 years of experience managing data or software teams, with a proven history of successfully delivering large, complex projects. Excellent communication skills are essential for cross-functional collaboration.

Demonstrated experience with large-scale data processing systems (batch and streaming), public cloud environments (AWS, Azure, GCP), and technologies like Databricks, Spark, and S3. Experience with Python and building APIs/microservices is highly desirable.