Engineering Manager Data
OpenFX helps financial institutions move money across borders with real-time settlement and transparent pricing through its FX infrastructure platform.
Funding history
About OpenFX
OpenFX helps financial institutions process cross-border payments through its real-time settlement network that bypasses traditional correspondent banking. Users can execute FX transactions, settle payments within 60 minutes, and access transparent pricing across currency pairs. OpenFX enables 24/7 money movement for remittance companies, neobanks, and payment providers seeking faster, cheaper international transfers.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the Data Engineering pod and own ingestion, lakehouse architecture, orchestration, data quality, governance, cost controls, and self-service datasets. You will support production operations, review data models and pipelines, write code when needed, and grow the engineering team.
Requirements
- 8+ years in data engineering
- 4+ years managing a data engineering team
- Regulated or audited environment experience
- Production pipeline and lakehouse or warehouse experience
- Batch ingestion
- Streaming ingestion
- Change data capture
- Open table formats
- Layered data modelling
- Orchestration
- Data quality testing
- Data observability
- Warehouse or lakehouse migration
- SQL
- Python
- Hiring
- Performance management
- AI agents and assistants
- Written communication
Responsibilities
- Lead the Data Engineering pod
- Own data engineering roadmap, standards, and platform
- Own batch, streaming, and change-data-capture ingestion
- Own lakehouse bronze, silver, and gold layers
- Own pipeline orchestration, CI/CD, testing, backfills, and schema changes
- Define and monitor data quality and reliability standards
- Own data governance, access control, lineage, retention, and residency
- Manage platform storage and compute costs
- Build self-service data capabilities
- Build data foundations for machine learning and AI
- Review data models and debug pipelines
- Hire and develop data engineers
Benefits
- Equity