QORRO AI · 4 days ago
Founding Client Engineer – Data & Platform Enablement
Atlanta Metro
Full-time
Hybrid
Mid, Senior Level
2+ years expQORRO AI is an AI-first, cloud native Customer Value Management company focused on redefining relationship banking. They are seeking a Founding Client Engineer to lead the technical onboarding and operationalization of their platform within bank environments, ensuring effective integration and scalability.
Computer Software
Responsibilities
Lead the technical onboarding and operationalization of the QORRO platform within bank environments
Take primary responsibility for the technical implementation of QORRO’s platform within client bank environments
Lead technical discovery with bank clients to develop a clear understanding of their data ecosystems, including core banking systems, digital platforms, data warehouses or lakehouses, and existing data extraction processes
Translate these findings into onboarding architecture and routines that meet bank security, compliance, and operational requirements
Own the mapping of bank source data into QORRO’s standardized analytics-ready schemas
Define transformation logic, document assumptions, and ensure consistency across client implementations, while building reusable adapters for common core banking systems
Design and implement robust ETL/ELT pipelines capable of processing large-scale banking datasets with millions of records
Own the full data lifecycle from raw ingestion through standardized and feature-ready layers within QORRO’s Lakehouse architecture
Work closely with QORRO’s product and data science teams to ensure that platform capabilities evolve in alignment with real-world bank data constraints and operational needs
Use learnings from client onboarding to directly inform product design, AI/ML model requirements, and roadmap priorities
Ensure that downstream model execution and output publication are reliably supported
Represent QORRO’s technical rigor in interactions with bank stakeholders, supporting design and implementation reviews, security assessments, and compliance discussions
Maintain clear documentation related to data lineage, access controls, and operational processes
Help shape QORRO’s long-term technical foundation
Contribute to defining onboarding standards, platform conventions, and internal tooling that enable repeatability, scale, and sustained technical credibility
Qualification
Required
2-5 years of experience in data engineering, platform engineering, and AI/ML Ops
Proven experience designing, implementing, and operating AI/ML systems in production
Strong proficiency in SQL and Python
Experience with cloud-based data platforms (GCP preferred)
Experience working directly with enterprise clients, senior stakeholders, and geographically dispersed product teams
Preferred
Prior experience in banking, fintech, or other regulated data environments is preferred
Familiarity with common core banking data models and systems (e.g., Fiserv DNA / Finxact, FIS IBS/Profile, Jack Henry) preferred but not required
Prior experience in a startup in an engineering role is a plus
Benefits
Competitive pay
Meaningful equity
Company
QORRO AI
QORRO is an AI-first Customer Value Management (CVM) company redefining the economics of relationship banking at scale.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase