7 months ago
Base Salary
$285k - $342k/yr
Responsibilities
- Define and drive company-level technical strategy for governance systems and schema and metadata infrastructure.
- Architect and evolve high-performance metadata management systems with low-latency lookups, strong consistency, and coherent behavior across streaming and processing engines.
- Design and evolve data protection capabilities including encryption, access control, and schema validation.
- Build and maintain highly available, multi-tenant governance infrastructure optimized for scalability, reliability, and resilience.
- Establish and promote engineering standards, architectural patterns, and technical frameworks across the organization.
- Partner with executives, product management, and engineering leaders to align technical vision with business objectives and build consensus on shared architecture decisions.
- Mentor senior and staff-level engineers and help develop future technical leaders.
- Contribute to relevant open-source projects and represent Confluent through technical talks and thought leadership.
Requirements
- Proven experience leading the architecture and delivery of large-scale distributed systems with company-level impact.
- Comprehensive knowledge of fault tolerance, consistency, scalability, and cloud-native platforms.
- Working knowledge of streaming or event-driven architectures and adjacent domains such as schema management, data catalogs, or metadata and governance systems.
- Ability to navigate ambiguity, reduce systemic complexity, and design systems for the next three to five years.
- Strong ability to influence executives and stakeholders while fostering collaboration across multiple teams.
- Demonstrated ability to translate high-level vision into detailed technical implementation and shipped outcomes.
- Experience with data catalogs, metadata or governance ecosystems, or large-scale data infrastructure is advantageous.
- Deep experience with AWS, Azure, or GCP and resource management and multi-tenancy in complex cloud environments is advantageous.
- Experience building infrastructure for AI or agentic workloads, especially metadata, context quality, or governance systems, is advantageous.
- Open-source contributions or recognition as an industry thought leader is advantageous.
Tech Stack
Categories
About Confluent
Confluent builds an enterprise data streaming platform centered on Apache Kafka to move and process real-time data across systems. Its products include Confluent Cloud (managed Kafka) and Confluent Platform (self-managed), sold via SaaS subscriptions, support, and enterprise licensing; capabilities include stream processing and Cluster Linking for multi-region replication and migration. Founded in 2014 and headquartered in Mountain View, California, Confluent is a public company on NASDAQ.