Data Engineering Manager - Job Description A data-driven organization seeks a Data Engineering Manager to lead and mentor a team of data engineers in building enterprise-scale data solutions. This role is essential for driving data-driven decisions by implementing data structures and scalable data warehouse architecture. Your mission will be to foster a culture of engineering excellence and empower the team to deliver high-quality, reliable, and flexible data solutions across various use cases, including product analytics, marketing optimization, and financial reporting. Responsibilities: Lead, mentor, and nurture a top-performing data engineering team to drive impactful, business-focused data initiatives. Shape technical and strategic vision to support both embedded pods and foundational enablers for future scalability and interoperability. Continuously improve data architecture, processes, and workflows, ensuring a balance between short-term wins and long-term excellence. Drive collaboration with stakeholders, external partners, and peer data teams to align on data engineering goals. Maintain high standards for data reliability, quality, and architecture, fostering a best-in-class engineering environment. Requirements: Bachelor's, Master's, or Ph.D. in Computer Science or related field. 10+ years of experience in data engineering or a similar domain, with 3+ years in a management role. Proven ability to hire, coach, and grow diverse, impactful teams in fast-paced environments. Hands-on experience with Snowflake, Spark, or Trino, large-scale ETL orchestration, and Business Intelligence. Familiarity with Datalake solutions (Delta Lake, Apache Iceberg) and cloud-based environments (AWS). Strong communication and leadership skills, with expertise in performance management and technical execution in data infrastructure and BI tools.