Block's Data Operations Platform team 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.
Requirements
- 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).
Responsibilities
- 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.
Other
- This role can be performed from any location in US or Canada.
- We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
- We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
- The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions.
