Data Platform Engineer (Unified Data Models & Enrichment) Location: Bangalore, (Hybrid – in-office 4 days/week) Full-time | Experience: 2–3 years Role Overview

We’re looking for a Data Platform Engineer to design and build scalable data models and enrichment pipelines that power analytics and AI-driven capabilities at Gradient Cyber.

This role sits at the intersection of data engineering, analytics, and security working closely with internal teams (detection engineering, automation, analytics) to deliver high-quality, intelligence-ready data.

While we leverage modern enrichment platforms like Fleak.AI, this role is best suited for someone who can quickly learn and adapt to new tools, rather than requiring prior experience with any specific platform. What You’ll Do

Design and maintain unified, canonical data models across multiple data sources

Build and optimize data pipelines (ETL/ELT) for enrichment and transformation

Ensure data consistency, quality, and lineage across systems

Collaborate with cross-functional teams to support analytics, detection, and automation use cases

Improve data usability for AI, analytics, and operational workflows

Document data models, transformations, and enrichment logic clearly

Continuously enhance data reliability and platform performance What We’re Looking For

2–3 years of experience in data engineering, analytics engineering, or data platform roles

Strong understanding of

Data modeling and schema design





Data transformations and pipeline architecture

Hands-on experience with modern data tools or platforms (any ecosystem)

Exposure to security, log, or operational data

Ability to quickly learn new tools and technologies, especially in data enrichment and AI workflows

Strong problem-solving skills and attention to detail

Ability to work independently and manage multiple priorities

Clear communication skills (written and spoken English) Nice to Have Experience with data enrichment platforms or AI-driven data systems (e.g., Fleak.AI or similar)

Experience with data parsing, log parsing, or parser development

Experience building shared data models used by multiple teams Why Join Us

Work on real-world cybersecurity data problems at scale

Exposure to AI-driven data systems and modern data stacks

High ownership and impact from day one

Clear growth path into Data Architecture, Platform Engineering, or AI/Data Leadership roles About Gradient Cyber

Gradient Cyber is a fast-growing cybersecurity company focused on delivering advanced detection and response capabilities. We combine deep security expertise with modern data and AI systems to help organizations stay ahead of threats.

Equal

Prospect

We’re committed to building an inclusive workplace. All qualified applicants will receive consideration without regard to race, gender, disability, or any other protected status.

📌 Data Platform Engineer (Bengaluru)
🏢 Gradient Cyber
📍 Bengaluru