Senior Manager, Data Platform Engineering

📋 Description

• Lead and grow a high-performing data platform engineering team, providing technical direction
• Set the technical strategy for high-volume financial data ingestion across payment processors
• Lead the evolution of our Databricks lakehouse using Spark, Delta Lake, Unity Catalog, dbt, Python
• Define standards for data contracts, schema evolution, drift detection, data quality, and canonical
• Evolve the platform from batch toward near-real-time processing using Kafka, CDC, micro-batching
• Own the architecture of canonical financial models that transform complex source data into

🎯 Requirements

• 8+ years of experience in data platform, backend, or infrastructure engineering, including
• Proven experience managing and developing senior engineers and technical leads and building strong
• Deep expertise in data platforms, distributed systems, data modeling, and production data pipelines.
• Strong experience with Python and SQL, plus hands-on experience with Spark, Databricks, Delta Lake
• Experience building reliable ingestion systems with large-scale backfills, incremental processing
• Strong understanding of streaming and event-driven architectures, including Kafka, CDC, and

🎁 Benefits

• Offers Equity
• Offers Bonus