Senior Manager, Data Engineering

📋 Description

• Lead data ingestion, transformation, orchestration, and serving layers.
• Build reliable pipelines used by Product, GTM, Finance, and CTO.
• Lead self-serve analytics substrate to reduce bespoke work.
• Enforce data quality with lineage, freshness, anomalies, metrics.
• Own unit economics: compute/storage efficiency with reliability.
• Partner with Data Science, Analytics, Product to define semantic layer.
• Mentor and grow a high-performing data engineering team.

🎯 Requirements

• 8+ years data engineering or backend infra experience.
• 3+ years directly managing and growing engineering teams.
• Deep technical expertise: Spark, dbt, Airflow; Databricks, Snowflake, BigQuery.
• Strong data modeling fundamentals; semantic layer and data contracts.
• Reliability: data SLAs, observability, incident response.
• Stakeholder management: align eng, data science, analytics, product.
• Experience building batch and streaming pipelines on lakehouse/warehouse stacks.