Data Engineering Lead - Cogentiq: I2c Platform

javacareers.ai

Not specified
Data architecture and platform design
Scalable data lake/warehouse strategies
Batch and real-time data pipelines
javacareers.ai is seeking a Data Engineering Lead to build and scale the data foundation for their Intelligent Invoice-to-Cash platform. The role requires extensive experience in data architecture and pipeline engineering, with a focus on delivering high-quality, scalable data solutions for financial systems

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: 85

javacareers.ai is seeking a Data Engineering Lead to build and scale the data foundation for their Intelligent Invoice-to-Cash platform. The role requires extensive experience in data architecture and pipeline engineering, with a focus on delivering high-quality, scalable data solutions for financial systems.

Skills & Requirements

Must-have

  • Data architecture and platform design
  • Scalable data lake/warehouse strategies
  • Batch and real-time data pipelines
  • Data quality, governance, and security
  • Financial data accuracy and consistency
  • Cloud platforms (AWS, Azure, GCP)
  • Data warehouses (Snowflake, Redshift, BigQuery)

Nice-to-have

  • Passion and customer focus
  • Happy, enthusiastic over-achievers
  • Transform enterprise finance through automation
  • High-impact data platforms in financial systems

Key Requirements

  • 8–14+ years of experience in data engineering or data architecture
  • Strong expertise in data pipeline frameworks (Airflow, Spark, Kafka)
  • Strong expertise in SQL and Python
  • Experience handling high-volume enterprise data
  • Strong understanding of data modeling and ETL/ELT processes
  • Leadership Level L6 – Senior Data Engineering Lead

Work Rights

Not specified

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