About the company
Wise is a global technology company, building the best way to move and manage the world's money.
Responsibilities
- Drive Data Architecture & Resilience: Audit, map out, and elevate our current data pipelines and streaming architectures
- Establish best practices for monitoring, reliability, and scale across our data ecosystem (using Python, dbt, Airflow, Kafka, and Trino/Iceberg)
- Build the Unified Customer View: Productionize PoCs into scalable Airflow/dbt data workflows to lay the groundwork for our Customer Data Platform (CDP) datasets
- Bridge Engineering & Analytics: Partner with analytics leads to define clear boundaries and standards for data ingestion, cleansing, and transformation
- Own MarTech Infrastructure: Work alongside Engineering Leads to bring technology ownership of MarTech systems (e.g., Braze, HighTouch reverse ETL) in-house
- Technical Scoping & Discovery: Take ownership of broad, ambiguous problem spaces
- Coach & Mentor: Elevate the data capabilities of software engineers in the squad through code reviews, architectural guidance, and hands-on mentoring
Requirements
- Python & Big Data Expertise: Advanced proficiency in Python and proven experience architecting, deploying, and maintaining Big Data and streaming/batch pipelines (e.g., Kafka Streams, Event Streaming, Trino, Iceberg)
- dbt & Airflow Proficiency: Hands-on experience using dbt for scalable data transformations and Airflow for workflow orchestration
- Data Architecture Mastery: A strong background in data architecture