Jobs at Rimes Technologies

Leads requirements discovery, stakeholder alignment, data analysis, workstream planning, governance, testing coordination, and cutover readiness for complex data transformation programs. Coordinates teams across data management, engineering, operations, testing, and client stakeholders while maintaining requirements traceability, RAID and RAG reporting, dependency management, data validation, and delivery quality.

Own client-facing implementation projects from mobilization through production deployment. Responsibilities include project planning, governance, scope and change control, risk and issue management, stakeholder communication, delivery coordination, UAT, deployment readiness, and transition to steady-state operations. The role coordinates cross-functional teams, maintains project documentation and status reporting, manages client expectations, and applies AI-enabled tools to improve project management efficiency.

The Enterprise Sales Engineer partners with sales to lead the technical sales process, engage with clients, design solutions, and deliver compelling product demonstrations, focusing on investment data management and analytics.

Inspect and profile new financial datasets, build and test conceptual/logical/physical data models, document field definitions and relationships, collaborate with Data Engineering to produce ETL/ELT-ready schemas, and maintain model alignment and data quality.

Design, build and operate scalable Databricks/PySpark data pipelines to ingest, transform and validate financial vendor data into production-ready datasets, partnering with product and client teams to meet quality and timeline requirements.