
11 - 50 employees
Founded 2021
🔒 Cybersecurity
☁️ SaaS
💰 Venture Round on 2021-02
Cybersecurity • Software • SaaS
Reach Security is a unified platform designed to help organizations optimize their security investment and close critical gaps in their defenses. By assessing security posture, maximizing existing tools, and providing detailed actionable insights, Reach enables security teams to streamline operations and strengthen defense mechanisms efficiently. The platform integrates seamlessly with various security systems to help users prioritize risks and remediate vulnerabilities, making it an essential tool for enhancing security posture in today's evolving threat landscape.
🕒 July 9, 2025
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11 - 50 employees
Founded 2021
🔒 Cybersecurity
☁️ SaaS
💰 Venture Round on 2021-02
Cybersecurity • Software • SaaS
Reach Security is a unified platform designed to help organizations optimize their security investment and close critical gaps in their defenses. By assessing security posture, maximizing existing tools, and providing detailed actionable insights, Reach enables security teams to streamline operations and strengthen defense mechanisms efficiently. The platform integrates seamlessly with various security systems to help users prioritize risks and remediate vulnerabilities, making it an essential tool for enhancing security posture in today's evolving threat landscape.
• Architect, build, and maintain scalable and reliable data platform infrastructure. • Implement and optimize analytic query engines using technologies like Trino (Presto), Redshift, and BigQuery. • Design and support robust data management solutions leveraging Apache Iceberg. • Collaborate closely with Data Engineering and Analytics teams to ensure effective integration, schema detection, and schema evolution. • Develop and maintain observability frameworks to monitor and troubleshoot data pipelines and platform performance. • Implement best practices for data modeling, schema design, and pipeline fan-out strategies. • Ensure data integrity, quality, and consistency across Medalion architectures, star schemas, and Lakehouse environments. • Proactively identify opportunities to enhance platform scalability, efficiency, and reliability.
• 3+ years of experience in data platform engineering or related roles focusing on infrastructure and data management. • Deep experience with analytic query engines and platforms such as Trino (Presto), Redshift, BigQuery, and Apache Iceberg. • Expertise in designing platforms supporting Medalion architecture, star schemas, and schema evolution. • Solid foundation in automated schema detection, observability, and performance optimization. • Proficiency with cloud-based platforms and services (AWS, Azure, GCP, etc.). • Strong skills in Python and experience with modern infrastructure automation tools. • Excellent problem-solving abilities, particularly in complex data scenarios requiring performance tuning and scalability solutions. • Strong communication skills, able to articulate platform design concepts clearly to both technical and non-technical audiences. • A proactive and collaborative mindset, comfortable working independently and within fast-paced teams. • Must be a US citizen or Green Card holder.
• Competitive salary and equity. • Comprehensive health, dental, and vision insurance. • Remote work flexibility.
Apply Now🕒 July 9, 2025
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