
Artificial Intelligence • Enterprise • SaaS
Relativity is a technology company that provides cloud-based software solutions for data discovery, e-discovery, data breach response, contract analysis, and privacy management. Their products, powered by artificial intelligence, offer proactive security and legendary support to help organizations manage sensitive data. Relativity is trusted by thousands of organizations, including law firms, corporations, and government agencies, to organize data, discover truth, and act on it effectively and efficiently. Their end-to-end solutions streamline data discovery from collection to review and production, utilizing tools like RelativityOne, Relativity aiR for AI-driven legal challenges, and custom solutions through the Relativity App Hub. Relativity is committed to offering secure, flexible solutions with a strong focus on customer support and strategic partnerships.
1001 - 5000 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
November 21

Artificial Intelligence • Enterprise • SaaS
Relativity is a technology company that provides cloud-based software solutions for data discovery, e-discovery, data breach response, contract analysis, and privacy management. Their products, powered by artificial intelligence, offer proactive security and legendary support to help organizations manage sensitive data. Relativity is trusted by thousands of organizations, including law firms, corporations, and government agencies, to organize data, discover truth, and act on it effectively and efficiently. Their end-to-end solutions streamline data discovery from collection to review and production, utilizing tools like RelativityOne, Relativity aiR for AI-driven legal challenges, and custom solutions through the Relativity App Hub. Relativity is committed to offering secure, flexible solutions with a strong focus on customer support and strategic partnerships.
1001 - 5000 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
• Lead and mentor a team of data platform engineers, promoting collaboration, knowledge sharing, and professional growth. • Drive architectural decisions for distributed systems and lakehouse platforms using Spark, Delta Lake, and Iceberg. • Oversee design and implementation of scalable data pipelines and analytics workflows. • Ensure adherence to software engineering best practices: clean code, modular design, CI/CD, automated testing, and code reviews. • Collaborate with stakeholders to align technical solutions with business objectives and analytics needs. • Champion governance, observability, and compliance frameworks across all data platforms. • Manage performance tuning, scalability strategies, and cost optimization in cloud-native environments. • Facilitate architecture reviews and contribute to design decisions for fault-tolerant, future-ready systems. • Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure timely delivery.
• Proven experience leading technical teams in data engineering or platform development. • Strong programming skills in Python and SQL; hands-on experience with Apache Spark for distributed data processing. • Expertise in Delta Lake and/or Apache Iceberg for lakehouse architecture. • Familiarity with dbt, Databricks, and Snowflake for analytics workflows. • Solid understanding of software engineering principles, CI/CD, and automated testing. • Familiarity with Kubernetes, Docker, and infrastructure-as-code tools. • Understanding of performance tuning, scalability strategies, and cost optimization for large-scale systems. • Strong communication and stakeholder management skills. • Ability to drive architectural decisions and mentor engineers.
• Comprehensive health, dental, and vision plans • Parental leave for primary and secondary caregivers • Flexible work arrangements • Two, week-long company breaks per year • Unlimited time off • Long-term incentive program • Training investment program
Apply NowNovember 15
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Power Platform Developer at Wavestone designing AI-supported solutions and Microsoft Power Platform applications. Collaborating with project teams and integrating data from various sources while working remotely.
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