Senior Data Engineering Manager, Financial Platform

Added
22 days ago
Type
Full time
Salary
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Related skills

aws snowflake sql python gcp

πŸ“‹ Description

  • 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

🎯 Requirements

  • 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

🎁 Benefits

  • Remote work
  • Medical insurance
  • Flexible time off
  • Retirement savings plans
  • Modern family planning
  • Inclusive interview process
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