Cogentiq

Invoice-to-Cash platform

DataEngineeringLead

Bengaluru, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Data Engineering Lead at Cogentiq. Skills: Data Architecture, Data Pipeline Engineering, Data Quality, Leadership. Define data architecture. Design canonical data models”

What You'll Achieve.

Highly reliable and scalable data pipelines; Accurate financial data reconciliation; Data quality with minimal inconsistencies; AI-ready datasets with high usability; Timely delivery of reporting and analytics

Industry & Context.

Invoice to Cash platform
Problems you'll solve

Data quality; Data accuracy; Data consistency; Data performance; Data usability

What They're Looking For.

Must Have

Data pipeline frameworks, Airflow, Spark, Kafka, AWS, Azure, GCP, Data warehouses, Snowflake, Redshift, BigQuery, SQL, Python, High-volume enterprise data, Data modeling, ETL/ELT processes

Nice to Have

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

What You'll Do.

Define data architecture

Design canonical data models

Establish data lake/warehouse strategies

Build batch and real-time pipelines

Ensure data transformation

Support structured outputs

Design data pipelines for AI

Ensure high-quality datasets

Implement data validation

Ensure financial data accuracy

Enforce role-based access

Enable KPI dashboards

Support analytics teams

Optimize data availability

How You'll Work.

Team & Collaboration

Lead a team of data engineers; Partner with AI teams; Partner with Integration teams; Partner with ERP teams; Partner with Product teams

Process & Methodology

Drive data roadmap

Full Job Description

It's fun to work in a company where people truly BELIEVE in what they are doing! _We 're 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 acce

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