Block is looking to solve the challenge of providing world-class customer support and complaint handling across its various brands (Square, Cash App, Afterpay, Tidal, Proto) by leveraging data engineering to enable impactful business decisions and ensure consumer protection.
Requirements
- High proficiency in SQL
- Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects including scoping, design, development, testing, deployment, and documentation
- Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect, as well as schema design and dimensional data modeling
- Experience with setting up data quality and data lineage monitoring
- Experience with Python, and Terraform
- Experience with creating data visualizations (Tableau, Looker, PowerBI, Mode, Qlik, etc.)
- Experience with financial crimes compliance systems, technologies, and processes is a big plus
Responsibilities
- Operate across wide range of cross-functional teams and work to understand their needs in order to develop, deploy, maintain, and optimize data models, pipelines, ETL jobs and visualizations
- Create brand new and optimize existing data models and schemas on top of Block data including but not limited to eventing, customer level, and process level data
- Build monitoring to assess the health of the team’s infrastructure as well as data quality and lineage
- Build on and promote an effective data strategy, including developing processes, policy, and infrastructure to help standardize business and product metric definitions
- Troubleshoot technical issues with platforms, performance, data discrepancies, alerts etc
- Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders
- Perform ad hoc data extractions to resolve critical business and infrastructure issues
Other
- A minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or equivalent experience.
- A strategic mindset that drives technical excellence while building consensus with multiple stakeholders and partners
- Experience driving data-driven decisions for AI initiatives / agent building is a big plus
- Experience with compliance and/or regulatory data is a plus
