Senior Software Engineer, Data Operations Platform

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

The Data Operations Platform team is part of Block's AI, Data & Analytics organization and is responsible for developing and managing the company's Lakehouse platform, powered by Databricks and Snowflake. The team provides the foundational data infrastructure that powers analytics, machine learning, and AI initiatives across Block. The team also focuses on building and operating the core Lakehouse infrastructure, developing frameworks for scalable data ingestion, and ensuring data quality, governance, and reliability across the company's data ecosystem. We oversee critical ingestion pipelines supporting key business and AI use cases, and serve as subject matter experts in data ingestion, query optimization, and Lakehouse architecture at the company.

As a Senior Software Engineer on the team, you will be responsible for designing and building scalable, reliable, and efficient data platform components that extend the capabilities of Block's Lakehouse. You will improve the team's internal frameworks and tooling to enhance developer experience, drive standardization, and ensure best practices across data workflows. In this role, you will have a direct impact on accelerating data-driven innovation, enabling AI and analytics capabilities, and enhancing the performance and reliability of Block's data ecosystem.

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

You Will

• Design, build, and enhance the core components and frameworks that power Block's Lakehouse platform.


• Develop and maintain standardized data ingestion frameworks that enable internal teams to build robust, efficient, and governed data pipelines.


• Collaborate closely with product, data engineering, machine learning, and AI teams to understand their data needs, design scalable solutions, and ensure seamless integration with the Lakehouse platform.


• Establish and promote best practices for Lakehouse architecture, data governance, cost optimization, and query performance.


• Contribute to the long-term technical vision for Block's data platform by identifying opportunities for innovation and shaping the future of data operations infrastructure.

You Have

• 8+ years of industry experience in software engineering or data platform development, with a focus on building scalable data systems or distributed infrastructure


• Strong programming proficiency in languages such as Python, Java or Go, with experience developing data frameworks, libraries, or services.


• Hands-on experience with modern data platforms and distributed data processing systems such as Apache Spark.


• Solid understanding of data modeling, ETL/ELT processes, and data lake or Lakehouse architectures.


• Experience with cloud-based data ecosystems (AWS, GCP, or Azure).

Technologies We Use and Teach

• Data Platform: Databricks, Snowflake


• Data Processing & Storage: Apache Spark, Delta Lake, Apache Iceberg


• Cloud & Infrastructure: AWS, Terraform

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page .

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.