## 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
• *If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.**