Work from anywhere: This role can be performed from any location in the USA

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 Financial Platform ("FinPlat") Data Engineering lead manages the team responsible for the financial data backbone that powers reporting, monitoring, and analytics across Block payment and money movement flows. This role oversees the data warehouses and lakehouse systems that support core financial domains such as acquiring, issuing, chargebacks, disputes, and banking data. You will ensure the team delivers trusted data products that enable accurate operational decision making for finance, product, and other partner teams across Block.

You Will

• Lead and grow the FinPlat data engineering team that builds and maintains the financial data warehouse and lakehouse foundations that power operational, analytical, and AI driven decision support systems
• Own the strategy and architecture for financial data pipelines and models that support automation, monitoring, and intelligence across Block payment flows
• Partner closely with FinPlat Data Science, financial operations teams, banking product managers, and other stakeholders to shape data needs and deliver trusted domain products
• Represent data engineering for financial domains, communicating clearly with technical and nontechnical partners to guide decisions and align on long term direction
• Collaborate with other DE leaders to advance a standardized, functional, and AI ready data platform across Block
• Raise the quality, trust, and performance of core financial data systems to support accurate reporting, monitoring, and operational workflows

You Have

• 12+ years of experience in data engineering or a related software engineering field, including 4+ years leading or managing engineering teams
• Strong software engineering fundamentals, with experience designing and scaling distributed data systems that handle high volume, high integrity financial data
• Deep understanding of financial data domains such as acquiring, issuing, chargebacks, disputes, and banking adjacent data
• Experience building and operating large scale data warehouse and lakehouse systems on Snowflake, Databricks, or similar platforms, including performance tuning and cost management
• Proficiency in SQL and Python combined with broader engineering skills such as version controlled development workflows, code review, automated testing, and modern CI practices
• Experience with orchestration and compute frameworks like Airflow, Prefect, Spark, and cloud native services across AWS or GCP
• Knowledge of data modeling at scale, quality and validation frameworks, data contracts, semantic layer concepts, and patterns for AI and automation readiness
• Ability to partner effectively with finance, product, data science, and operations teams to drive alignment, clarity, and shared outcomes
• Experience coaching engineering leaders, shaping team culture, and raising execution and architectural quality across teams
• Ability to guide adoption of AI first patterns and standards that improve speed, reliability, learning, and quality across data systems
• Strong communication skills with the ability to represent data engineering in both technical and nontechnical discussions

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.