ID.me is seeking a Senior Engineering Manager to lead and grow their Data Platform Team, which is responsible for the Identity Trust Graph Database and foundational backend API services. The team will design and deliver modern data platforms, services, tools, and automation to empower engineering teams to discover, use, and responsibly steward data across the company.
Requirements
- 8+ years of engineering experience, with 3-4 years leading engineering teams.
- 5+ years of experience in data engineering, site reliability, or platform engineering.
- Deep expertise in graph databases (e.g., Neo4j, Amazon Neptune), including schema design, optimization, and implementation.
- Experience building event-driven architectures and streaming data pipelines (Kafka, Kinesis, or equivalent).
- Strong SQL skills and experience with at least one major cloud platform (AWS, GCP, or Azure).
- Familiarity with infrastructure-as-code and cloud-native tools (Kubernetes, Terraform, Helm).
- Experience evangelizing and driving adoption of new technologies across an engineering organization.
Responsibilities
- Define and drive the data platform strategy, including graph database services, APIs, pipelines, and cloud-native infrastructure.
- Own service reliability and performance for the Identity Trust Graph Database and supporting APIs.
- Deliver scalable event-driven architectures and data pipelines that enable real-time and batch data processing.
- Establish and enforce standards for data governance, quality, lineage, security, and developer experience.
- Partner with product managers to translate business and compliance needs into scalable platform solutions.
- Evaluate and implement modern data engineering platforms, frameworks, and tools that accelerate adoption and self-service.
- Guide data model design across graph-based and relational architectures to support both operational and analytical use cases.
Other
- Bachelor's degree in Computer Science or a related field of study.
- Track record of building and scaling high-performing engineering teams and delivering successful outcomes.
- Excellent communication skills, with the ability to influence and educate stakeholders at all levels.
- Mentor and grow engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
- Advocate for graph database technologies and event-driven approaches across the company, including with executives and product leaders.
