Data Engineering Lead - Cogentiq: I2c Platform

fractal-analytics.framer.ai

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Data architecture & platform design
Scalable data lake/warehouse strategies
Batch and real-time data pipelines
** Fractal Analytics is seeking a Data Engineering Lead to develop and scale the data foundation for its Intelligent Invoice-to-Cash platform. The role requires extensive experience in data architecture and pipeline engineering, focusing on financial data integration and governance. **

Job Summary

  • You will lead the design and development of robust, scalable, and secure data pipelines that unify multi-source financial data into reliable, analytics-ready and AI-ready datasets.
  • This is a strategic leadership role responsible for ensuring data quality, availability, governance, and performance across the platform.
  • You will build the data backbone of a next-generation Invoice-to-Cash platform that transforms enterprise finance through automation, AI, and scalable architecture.

Matching Summary

Match Score: 75

** Fractal Analytics is seeking a Data Engineering Lead to develop and scale the data foundation for its Intelligent Invoice-to-Cash platform. The role requires extensive experience in data architecture and pipeline engineering, focusing on financial data integration and governance. **

Skills & Requirements

Must-have

  • Data Architecture & Platform Design
  • Scalable data lake/warehouse strategies
  • Batch and real-time data pipelines
  • Data for AI & Automation
  • Data Quality, Governance & Security
  • Cloud platforms (AWS, Azure, GCP)
  • Data warehouses (Snowflake, Redshift, BigQuery)

Nice-to-have

  • Financial systems experience
  • AI/ML data pipeline support
  • Real-time event-driven architectures
  • Data governance in regulated environments

Key Requirements

  • 8-14+ years experience
  • Strong expertise in data pipeline frameworks
  • Strong expertise in SQL and Python
  • Experience handling high-volume enterprise data
  • Strong understanding of data modeling and ETL/ELT processes

Work Rights

Not specified

Tailored Resume

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