Senior Software Engineer, Data Platform

About the role

We're hiring an experienced software engineer to build and own the data platform that helps teams across the company work with trusted data at scale. This role shapes the foundations for data warehousing, orchestration, business intelligence, governance, and Block's agentic workflows. You'll combine strong software engineering with hands-on experience working closely with data, building platforms that make it safer and faster for data practitioners to discover, produce, transform, govern, and use data.

Responsibilities

• Design, build, and operate core data-platform capabilities, including data warehousing, orchestration, business intelligence tooling, and data governance.
• Build reliable Python services and developer-facing tools that improve how teams create and operate data products.
• Develop scalable infrastructure as code with Terraform.
• Establish patterns that let teams manage petabyte-scale data while maintaining strong governance, security, reliability, and usability.
• Partner with data engineers, analysts, scientists, and product teams to turn their needs into durable platform capabilities.
• Evaluate and build agentic workflows that make data work more effective, while maintaining appropriate controls and observability.
• Set technical direction, raise engineering standards, and mentor other engineers.

Requirements

• Senior-level software engineering experience, with strong Python skills and a record of designing, shipping, and operating production systems.
• Hands-on experience building or operating data platforms, data products, or large-scale data infrastructure.
• Experience with Snowflake, Databricks, or comparable modern data platforms.
• Experience with Terraform and infrastructure-as-code practices.
• A practical understanding of the tradeoffs involved in managing petabyte-scale data: performance, cost, reliability, access controls, lineage, quality, and governance.
• Experience collaborating directly with data practitioners, and empathy for the workflows they use to turn data into decisions.
• Strong technical judgment, clear communication, and the ability to lead across teams.

Technologies We Use and Teach

• Languages: Python, Kotlin
• Data platforms: Snowflake, Databricks, Apache Iceberg
• Orchestration & transformation: Apache Airflow, dbt, Prefect
• Infrastructure as code & CI/CD: Terraform, Buildkite, GitOps
• Catalog, lineage & data quality: DataHub, Anomalo
• BI & analytics: Looker, Omni
• Cloud: AWS

Pay

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

• Zone A: $217,800 USD – $326,800 USD
• Zone B: $207,000 USD – $310,400 USD
• Zone C: $196,100 USD – $294,100 USD
• Zone D: $185,200 USD – $277,800 USD