Senior Software Engineer, Data Ingestion Platform

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us.

The Role

The Data Ingestion team is part of Block's AI, Data & Analytics organization and is responsible for building and operating the platforms that replicate and ingest data into Block's Lakehouse, powered by Databricks and Snowflake. The team owns Block's Change Data Capture (CDC) platform, streaming data connectors, and data loading infrastructure — ensuring that fresh, reliable data from production databases, event streams, and third-party sources is available for analytics, machine learning, and AI initiatives across Square, Cash App, and Afterpay.

As a Senior Software Engineer on the team, you will design and build the next generation of data ingestion infrastructure — including Kafka Iceberg connectors, database replication pipelines, and unified ingestion frameworks. You will drive the modernization of our CDC platform, help consolidate multiple ingestion paths into a cohesive architecture, and collaborate with partner teams across Block to ensure data flows reliably from source to Lakehouse. In this role, you will have a direct impact on the scalability, reliability, and cost-efficiency of Block's data ecosystem.

Work from anywhere: This role can be performed from any location in the US or Canada.

You Will

• Design, build, and operate scalable data replication and ingestion pipelines that move data from production databases, event streams, and third-party sources into Block's Lakehouse.
• Develop and enhance Kafka Iceberg connectors and data loading frameworks, enabling reliable, low-latency data delivery to Snowflake and Databricks.
• Drive the modernization of Block's CDC platform — evaluating and implementing next-generation approaches for database replication, including cloud-native alternatives, and Iceberg-based ingestion patterns.
• Build self-service tooling and observability features that empower internal teams to onboard, monitor, and troubleshoot their own data pipelines with minimal support.
• Collaborate with data engineering, platform infrastructure, and product teams to define data contracts, improve service encapsulation, and reduce tight coupling between operational databases and analytics consumers.
• Contribute to the unification of Block's data ingestion architecture by