Senior Data Platform Engineer

This is a high-impact individual contributor role focused on architecture, platform modernization, and long-term scalability.

Key Responsibilities

• Architect and evolve the data layer to support high-throughput ingestion, real-time processing, and low-latency search across massive datasets.
• Evaluate existing search and storage platforms and drive modernization initiatives toward more scalable, performant, and cost-effective solutions.
• Design and implement optimized indexing, partitioning, and data structuring strategies for efficient querying and retrieval.
• Build and manage scalable data lake architectures that support advanced analytics, threat intelligence, and data science workflows.
• Define strategies for lifecycle management, retention, tiered storage, and cost optimization across the data platform.
• Ensure high availability, fault tolerance, and disaster recovery across distributed systems.
• Implement robust data security controls aligned with XDR and modern cybersecurity frameworks, ensuring data protection at rest and in transit.
• Collaborate closely with security engineering, backend teams, and data scientists to bridge raw telemetry ingestion with actionable insights.
• Continuously monitor platform performance and lead improvements in reliability, scalability, and operational efficiency.

Qualifications

• 6–10 years of professional experience in Data Engineering, Data Platform Engineering, or Distributed Systems Architecture as an Individual Contributor.
• Strong hands-on experience with large-scale distributed search and analytics platforms.
• Proven experience evaluating and migrating data platforms to improve scalability, performance, and cost efficiency.
• Deep understanding of indexing strategies, query optimization, and distributed data storage architectures.
• Practical experience designing and operating data lake environments supporting large-scale analytics and machine learning workflows.
• Strong knowledge of data lifecycle management, storage tiering, and cost optimization strategies.
• Experience implementing security best practices in distributed data systems, especially in security or telemetry-heavy environments.
• Solid understanding of high-volume ingestion pipelines and real-time data processing systems.
• Bachelor’s degree in Computer Science, Information Technology, or a related technical field.

What We’re Looking For

• A systems thinker who can design platforms for scale, not just features.
• Someone who can balance performance, cost, and reliability in large distributed systems.
• A hands-on architect who can both define strategy and execute technically.
• Strong ownership mindset with the ability to independently drive platform-level initiatives.
• Experience working in security, cybersecurity, SIEM, or XDR environments is a strong plus.