Block is looking for a Financial Platform Data Engineering Lead to manage the team responsible for the financial data backbone that powers reporting, monitoring, and analytics across Block's payment and money movement flows. This role will oversee data warehouses and lakehouse systems supporting core financial domains and ensure the delivery of trusted data products for accurate operational decision-making.
Requirements
- 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 guide adoption of AI first patterns and standards that improve speed, reliability, learning, and quality across data systems
Responsibilities
- 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
- 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
Other
- 12+ years of experience in data engineering or a related software engineering field, including 4+ years leading or managing engineering teams
- 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
- Strong communication skills with the ability to represent data engineering in both technical and nontechnical discussions
- This role can be performed from any location in the USA
