Lead a high-performing team of cloud ETL and data engineers, promoting a culture of innovation, collaboration and knowledge.
Architect and oversee the development of scalable, cloud-native data pipelines using technologies like Apache Beam, Spark, and Airflow across AWS, GCP, or Azure.
Collaborate with Product, Architecture, TPM, and Data Governance teams to deliver secure, compliant, and high-quality data products.
Improve adoption of best practices in data engineering, including data quality, lineage, cataloging, and governance aligned with CDA and data mesh principles.
Champion agile methodologies and continuous improvement in engineering processes, tooling, and DevOps practices.
Cultivate engineering talent through coaching, career development, and performance management in a distributed team environment.
Requirements
Bachelor's degree in technical discipline; or Masters degree
8+ years of software engineering experience with at least 3+ years in engineering leadership roles
Knowledge and experience with Java, Scala, Python, Kafka, and Containerized Micro-services