Description
The Advanced Insights and Modeling (AIM) team at Block is seeking a Staff Data Engineer to lead the technical direction and hands-on development of Treasury's data foundation.
The ideal candidate will have 10+ years of experience in data engineering, with substantial recent experience personally building and operating production data systems. They will have deep expertise in SQL, Python, and dbt, and experience with Snowflake or a comparable cloud data warehouse.
Responsibilities:
- Own Treasury's data architecture and technical roadmap
- Design, build, and operate the Treasury liquidity datamart in Snowflake
- Partner with AIM's ML engineers on liquidity forecasting
- Lead the technical recommendation for Treasury's TMS build-versus-buy decision
- Own production reliability and controls
- Establish success measures with Treasury and improve the systems
Requirements:
- 10+ years of experience in data engineering
- Deep expertise in SQL, Python, and dbt
- Experience with Snowflake or a comparable cloud data warehouse
- Strong data architecture and modeling skills
- Experience operating business-critical pipelines
- A track record of independently turning ambiguous business problems into production systems
Nice to Have:
- Experience with financial, Treasury, or general ledger data
- Experience building datasets and data contracts for production ML models or forecasting systems
- Experience building workflow automation, including production AI agents
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