Data Platform Engineer

Data Platform Engineer (Unified Data Models & Enrichment)

Location: Bangalore, (Hybrid in-office 4 days/week)

Full-time | Experience: 23 years

Role Overview

Were 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 Youll 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 Were Looking For

• 23 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 Opportunity

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