Sr. Manager, Data & ML Engineering
Core
Leads the delivery and operational excellence of a modern data platform using dbt and AWS-native architecture to power analytics, reporting, and future machine learning use cases.
Role type
Senior Manager, Data & ML Engineering
Builds
Scalable, reliable, and governed data pipelines, analytics-ready data models, and ML-ready curated datasets on AWS.
Domain
Cloud Data Engineering & Machine Learning Operations
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
dbt (transformation, testing, CI/CD), AWS data services (S3, Redshift, Glue, EMR, Lambda, Kinesis, SageMaker), data modeling, pipeline operations, team leadership, technical strategy
Preferred skills
ML feature readiness, MLOps patterns, data quality automation, cost optimization
Technologies
dbt, AWS (S3, Redshift, Glue, EMR, Lambda, Kinesis, SageMaker)
Responsibilities
Design and deliver analytics-ready data models and transformation layers; establish dbt development standards and CI/CD practices; own delivery and operations of scalable AWS pipelines; implement monitoring, alerting, and incident response; drive data quality practices including lineage and freshness checks; collaborate with stakeholders to translate needs into roadmaps; manage and mentor data engineers; enable ML use cases via curated datasets and feature readiness; evaluate platform improvements for scalability and governance.
Seniority
Senior, hands-on IC with people management