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LeadFull-timeGitAI
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Principal Engineer, IO to provide technical leadership across data engineering domains. This role focuses on building scalable distributed systems and shaping the long-term technical narrative for data engineering.
Key Responsibilities
- →Lead architectural strategy across data engineering, aligning storage, eventing, governance, and access layers under a cohesive long-term vision
- →Establish consistent architectural patterns that reduce duplication, increase replaceability, and strengthen system durability
- →Drive adoption of canonical solutions for event propagation, schema contracts, semantic governance, replication, and query abstraction
- →Guide large-scale technical decisions involving distributed coordination, replay semantics, durable state, and cross-region resiliency
- →Influence engineering leaders and senior engineers to align around shared standards and principled system design
- →Facilitate cross-team architectural reviews that elevate technical rigor and reinforce transparency
- →Mentor senior engineers while cultivating a culture of ownership, operational excellence, and continuous growth
- →Strengthen observability, disaster recovery, performance, and reliability across mission-critical systems
- →Partner with product and engineering leadership to balance long-term architectural clarity with pragmatic delivery
- →Contribute reference implementations and technical documentation that empower teams to move quickly and confidently
Requirements
- ✓12+ years of experience building and operating large-scale distributed systems
- ✓Proven track record of leading cross-team architectural initiatives from concept to production
- ✓Deep expertise in event-driven architectures, durable state systems, and distributed coordination
- ✓Strong experience with messaging systems such as Kafka, change data capture, replay semantics, and replication strategies
- ✓Familiarity with query engines, data federation, and abstraction layers separating application logic from storage engines
- ✓Experience designing systems with governance controls and policy enforcement patterns
- ✓Demonstrated ability to influence senior engineers and executives without direct authority
- ✓Exceptional communication skills with the ability to articulate complex technical tradeoffs clearly
- ✓Willingness to embrace cutting-edge technologies and AI-assisted development practices
- ✓Serious interest in having fun at work
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