Senior Engineering Manager - Data Platform

Senior Engineering Manager - Data Platform

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity.

Role Overview

ID.me is seeking a Senior Engineering Manager to lead and grow our Data Platform Team. This team is the service owner for ID.me's Identity Trust Graph Database as well as foundational backend API services. In addition, the team will design and deliver the modern data platforms, services, tools, and automation that empower engineering teams to discover, use, and responsibly steward data across the company.

You will manage and mentor a team of engineers with expertise in graph and relational databases, event-driven architectures, and large-scale data pipelines. You will work closely with product managers and cross-functional stakeholders to define priorities, deliver high-value outcomes, and meet strict SLAs for reliability, compliance, and data freshness. This is a high-impact leadership role at the intersection of backend systems, data infrastructure, and platform engineering.

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.

Monitor, optimize, and scale platform services to meet high availability and performance requirements.

Ensure compliance with regulatory standards such as FedRAMP, NIST, and GDPR.

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.

Basic Qualifications

Bachelor's degree in Computer Science or a related field of study.

8+ years of engineering experience, with 3-4 years leading engineering teams.

5+ years of experience in data engineering, site reliability, or platform engineering.

Preferred Qualifications

Deep expertise in graph databases (e.g., Neo4j, Amazon Neptune), including schema design, optimization, and implementation.

Track record of building and scaling high-performing engineering teams and delivering successful outcomes.

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).

Excellent communication skills, with the ability to influence and educate stakeholders at all levels.

Experience evangelizing and driving adoption of new technologies across an engineering organization.