Data Engineering Lead Cogentiq I2C Platform

Its fun to work in a company where people truly BELIEVE in what they are doing!

Were committed to bringing passion and customer focus to the business.

We are looking for a highly experienced Data Engineering Lead to build and scale the data foundation of our Intelligent Invoice-to-Cash (I2C) platform. The platform powers Invoice Template Creation (Branding) Remittance ingestion Payments reconciliation AI-based Cash Application and ERP posting.

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.

Key Responsibilities

Data Architecture & Platform Design

• Define and own the end-to-end data architecture.
• Design canonical data models for:
  • Remittances
  • Payments
  • Invoices
  • Customers
  • Deductions & adjustments
  • Branding & template configurations
• Establish scalable data lake/warehouse strategies.

Data Pipeline Engineering

• Build and maintain batch and real-time pipelines ingesting data from:
  • ERP systems (SAP Oracle NetSuite etc.)
  • Banking systems
  • Email ingestion & EDI feeds
  • Customer portals & SFTP
• Ensure reliable data transformation normalization and enrichment.
• Support structured outputs consumed by AI and integration layers.

Data for AI & Automation

• Design data pipelines that power:
  • Intelligent document processing
  • Matching & reconciliation models
  • Exception detection engines
• Ensure high-quality labeled datasets and feature engineering frameworks.
• Enable feedback loops for model improvement.

Data Quality Governance & Security

• Implement data validation reconciliation and monitoring frameworks.
• Ensure financial data accuracy and consistency across systems.
• Define audit trails lineage and compliance controls.
• Enforce role-based access and data security best practices.

Reporting & Analytics Enablement

• Enable KPI dashboards for:
  • Auto-match rates
  • Exception trends
  • Payment reconciliation metrics
• Support analytics for finance and operations teams.
• Optimize data availability for near real-time reporting.

Leadership & Collaboration

• Lead a team of data engineers.
• Partner with AI Integration ERP and Product teams.
• Drive data roadmap aligned with automation and scalability goals.
• Conduct design reviews and enforce data standards.

Required Qualifications

• 814 years of experience in data engineering or data architecture.
• Strong expertise in:
  • Data pipeline frameworks (Airflow Spark Kafka etc.)
  • Cloud platforms (AWS Azure GCP)
  • Data warehouses (Snowflake Redshift BigQuery etc.)
  • SQL and Python
• Experience handling high-volume enterprise data.
• Strong understanding of data modeling and ETL/ELT processes.

Preferred Experience

• Financial systems AR or ERP-integrated platforms.
• Remittance and payment reconciliation workflows.
• AI/ML data pipeline support.
• Real-time event-driven architectures.
• Data governance in regulated environments.

Leadership Level

L6 Senior Data Engineering Lead

• Owns execution and reliability of data platform.
• Leads engineering delivery and optimization.
• Ensures data quality and production stability.
• Defines long-term enterprise data architecture.
• Drives cross-product data strategy and governance.
• Influences executive-level data decisions.

What Success Looks Like

• Highly reliable and scalable data pipelines.
• Accurate financial data reconciliation across systems.
• Strong data quality with minimal inconsistencies.
• AI-ready datasets with high usability.
• Timely delivery of reporting and analytics.

Why Join Us

You will build the data backbone of a next-generation Invoice-to-Cash platform that transforms enterprise finance through automation AI and scalable architecture.

If you are passionate about building high-impact data platforms in financial systems we would love to connect.

If you like wild growth and working with happy enthusiastic over-achievers youll enjoy your career with us!

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Required Experience:

IC

Employment Type : Full-Time
Experience: years
Vacancy: 1