Data Engineering Manager
Core
Lead the hands-on development of scalable data pipelines, canonical data models, and trusted datasets to support advanced analytics, data science, and machine learning across Marketing.
Role type
Manager of Marketing Data Engineering
Builds
Scalable data pipelines, reusable data assets, and ML-ready datasets for marketing analytics
Domain
Marketing Analytics / Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, Spark/PySpark, Snowflake, Databricks, API integrations, data modeling, MLOps, CI/CD, dbt, Airflow
Preferred skills
Feature engineering, point-in-time logic, entity resolution, marketing data ecosystems (CRM, marketing automation), mentoring engineers
Technologies
Snowflake, Databricks, Spark, Python, SQL, dbt, Airflow, Git
Responsibilities
Build and operate scalable marketing data pipelines; Develop reusable API integrations and ingestion frameworks; Design and maintain canonical datasets and shared data models; Engineer datasets for machine learning and data science; Lead hands-on engineering delivery and continuous improvement; Establish data quality, observability, and operational reliability
Seniority
Manager, hands-on IC with team leadership
