Senior Data Engineer
Core
Design, develop, and deploy scalable cloud-native data pipelines and platforms powering marketing analytics, measurement, and activation for clients.
Role type
Senior Data Engineer (Marketing Analytics)
Builds
Cloud data pipelines, data warehouses, and analytics-ready datasets for marketing and advertising clients.
Domain
Marketing Technology / Data Engineering / Cloud Infrastructure
Required skills
SQL, Python, Cloud Architecture (GCP/AWS), Data Modeling (dbt/Dataform), API Integration, GenAI Tools, CI/CD, Data Privacy
Preferred skills
Marketing/Product Data Engineering background, GenAI project contribution
Technologies
GCP, AWS, BigQuery, Snowflake, Redshift, Databricks, dbt, Dataform, Cloud Functions, Cloud Run, Pub/Sub, Lambda, S3, SNS/SQS, GitHub Actions, Cloud Build
Responsibilities
Design and deploy scalable data pipelines and cloud-native platforms; Architect production-grade data models; Write optimized SQL for large datasets; Lead end-to-end delivery of ingestion pipelines from marketing sources; Implement robust API integrations and ETL/ELT automation; Mentor junior engineers and lead code reviews; Apply GenAI tools to accelerate workflows; Collaborate with stakeholders on technical roadmaps.
Seniority
Senior, hands-on IC with mentorship responsibilities