As a Data Platform Engineer at Gradient Cyber, your role involves designing and building scalable data models and enrichment pipelines to support analytics and AI-driven capabilities. You will work at the intersection of data engineering, analytics, and security, collaborating closely with internal teams to ensure high-quality, intelligence-ready data.
Your key responsibilities will include:
- Designing and maintaining unified, canonical data models across multiple data sources
- Building and optimizing data pipelines (ETL / ELT) for enrichment and transformation
- Ensuring data consistency, quality, and lineage across systems
- Collaborating with cross-functional teams to support analytics, detection, and automation use cases
- Improving data usability for AI, analytics, and operational workflows
- Documenting data models, transformations, and enrichment logic clearly
- Continuously enhancing data reliability and platform performance
To excel in this role, you should have 2-3 years of experience in data engineering, analytics engineering, or data platform roles. Additionally, you should possess a strong understanding of data modeling, schema design, data transformations, pipeline architecture, and hands-on experience with modern data tools or platforms. Exposure to security, log, or operational data is a plus, along with the ability to quickly learn new tools and technologies, especially in data enrichment and AI workflows. Strong problem-solving skills, attention to detail, and clear communication skills in English are essential.
Experience with data enrichment platforms or AI-driven data systems, data parsing, log parsing, or parser development is nice to have for this role.
Join Gradient Cyber to work on real-world cybersecurity data problems at scale, gain exposure to AI-driven data systems and modern data stacks, and have high ownership and impact from day one. This opportunity also offers a clear growth path into Data Architecture, Platform Engineering, or AI / Data Leadership roles.
Gradient Cyber is a fast-growing cybersecurity company that focuses on delivering advanced detection and response capabilities by combining deep security expertise with modern data and AI systems.
At Gradient Cyber, we are committed to building an inclusive workplace where all qualified applicants will receive consideration without regard to race, gender, disability, or any other protected status. As a Data Platform Engineer at Gradient Cyber, your role involves designing and building scalable data models and enrichment pipelines to support analytics and AI-driven capabilities. You will work at the intersection of data engineering, analytics, and security, collaborating closely with internal teams to ensure high-quality, intelligence-ready data.
Your key responsibilities will include:
- Designing and maintaining unified, canonical data models across multiple data sources
- Building and optimizing data pipelines (ETL / ELT) for enrichment and transformation
- Ensuring data consistency, quality, and lineage across systems
- Collaborating with cross-functional teams to support analytics, detection, and automation use cases
- Improving data usability for AI, analytics, and operational workflows
- Documenting data models, transformations, and enrichment logic clearly
- Continuously enhancing data reliability and platform performance
To excel in this role, you should have 2-3 years of experience in data engineering, analytics engineering, or data platform roles. Additionally, you should possess a strong understanding of data modeling, schema design, data transformations, pipeline architecture, and hands-on experience with modern data tools or platforms. Exposure to security, log, or operational data is a plus, along with the ability to quickly learn new tools and technologies, especially in data enrichment and AI workflows. Strong problem-solving skills, attention to detail, and clear communication skills in English are essential.
Experience with data enrichment platforms or AI-driven data systems, data parsing, log parsing, or parser development is nice to have for this role.
Join Gradient Cyber to work on real-world cybersecurity data problems at scale, gain exposure to AI-driven data systems and modern data stacks, and have high ownership and impact from day one. This opportunity also offers a clear growth path into Data Architecture, Platform Engineering, or AI / Data Leadership roles.
Gradient Cyber is a fast-growing cybersecurity company that focuses on delivering advanced detection and response capabilities by combining deep security expertise with modern data and AI systems.
At Gradient Cyber, we are committed to building an inclusive workplace where all qualified applicants will receive consideration without regard to race, gender, disability, or any other protected status.
