Principal Software Engineer, Data

Company Overview IDMe is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with IDMe once and seamlessly login across websites without having to create a new login and verify their identity again. Over 175 million users experience streamlined login and identity verification with IDMe at 22 federal agencies, 50 state government agencies, and more than 100 healthcare organizations. Over 600 consumer brands use IDMe to verify communities and user segments to honor service and build more authentic relationships. IDMe’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. IDMe is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/ . IDMe is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. At IDMe, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here . Role Overview We are looking for a Principal Software Engineer (SDE6), Data to join our Core Platform Engineering organization and spearhead the architectural evolution of IDMe’s data ecosystem. As IDMe scales as an API-first platform company, we need a high-agency technical leader who can immediately step in, rapidly synthesize our current landscape—across business objectives, technical realities, and system architecture—and define and drive a pragmatic, multi-phase evolution plan for our data platform and data architecture. In this pivotal role, you will serve as the primary technical strategist and hands-on architectural driver for the Data side of IDMe’s platform transformation. You will assess existing relational, event-driven, and graph-based data systems, identify critical bottlenecks and strategic opportunities, and chart a clear path from our current state to a resilient, scalable, cloud-native target architecture. Rather than operating in an ivory tower, you will lead from the front—partnering closely with executive leadership, product, security, compliance, and application engineering teams to align technical execution with high-priority business outcomes across identity verification, fraud prevention, analytics, and AI/ML enablement. This role is based out of our Mountain View, CA or McLean, VA office and requires full-time in-office attendance . Responsibilities Assess & Synthesize Current State: Rapidly build a deep understanding of IDMe’s existing data landscape, technical debt, operational bottlenecks, and business priorities across relational databases (PostgreSQL/AlloyDB/CloudSQL), graph systems, event streaming, and core data APIs. Define & Drive the Data Evolution Plan: Author and own the end-to-end architectural roadmap for IDMe’s data ecosystem—defining clear, incremental milestones that safely evolve legacy patterns into modern, scalable, API-first and event-driven data architectures while continuously delivering business value. Architect Foundational Data Systems: Lead the technical design and implementation of core data platform capabilities, including foundational data APIs, event-driven architectures (Pub/Sub, streaming pipelines), graph data models, encryption/data protection services, and automated data lifecycle/retention systems. Bridge Business Objectives & Technical Strategy: Partner directly with executive leadership, product management, and domain architects (such as Authentication and Identity) to translate strategic business goals and regulatory mandates into cohesive, future-proof data architectures and data contracts. Establish Data Modeling & Governance Guardrails: Define organization-wide standards, paved paths, and self-service tooling for logical and physical data modeling (across relational and graph systems), schema hygiene, metadata management, data lineage, and access patterns. Embed Security, Privacy & Compliance by Design: Partner with Security and Compliance teams to ensure data storage, encryption, retention, and access architectures rigorously satisfy regulatory standards (e.g., FedRAMP, NIST 800-63, GDPR) with built-in auditability. Hands-On Technical Leadership: Dive into critical codebases, build foundational prototypes, lead architectural reviews, and work side-by-side with engineering teams to unblock complex migrations, optimize database and query performance at scale, and resolve high-severity architectural challenges. Influence & Elevate Engineering Culture: Mentor Staff and Senior engineers across the organization, evangelize modern data ownership and stewardship practices, and align cross-functional teams around a unified data vision. Basic Qualifications Bachelor’s or Graduate degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). 10+ years of hands-on experience in software engineering, distributed systems, and data architecture at a large-scale SaaS, fintech, identity, or platform company. Demonstrated track record of stepping into complex, brownfield engineering environments, rapidly diagnosing architectural and business challenges, and defining and executing multi-quarter technical transformation roadmaps. Deep expertise in designing, building, and evolving large-scale data architectures spanning relational databases (e.g., PostgreSQL), distributed event-driven systems, and graph or NoSQL data stores. Strong proficiency in one or more modern backend programming languages (e.g., Go, Java, Python, Ruby, or Rust) and advanced SQL. Preferred Qualifications Proven ability to act as a force multiplier across an engineering organization—driving alignment among executives, product leaders, and engineers to turn ambiguous, company-wide problems into actionable execution plans. Hands-on experience leading large-scale data migrations, decomposing monolithic databases, and establishing API-first data boundaries and data contracts without disrupting mission-critical production traffic. Deep expertise with both relational database internals/scaling (e.g., PostgreSQL, AlloyDB, CloudSQL) and graph database architectures (e.g., Neo4j, Amazon Neptune, or similar) for relationship-driven identity and fraud use cases. Experience architecting event-driven data platforms and real-time streaming pipelines (e.g., Google Pub/Sub, Kafka, Dataflow, Temporal) on major cloud providers (GCP or AWS). Experience designing automated data governance, data retention, and privacy/encryption frameworks in highly regulated environments (e.g., FedRAMP, NIST, SOC2, GDPR). Fluency with AI-assisted engineering workflows and experience designing data architectures that power AI/ML and analytical platforms. Exceptional written and verbal communication skills, with a natural ability to distill complex architectural trade-offs into clear strategic narratives for both technical and executive audiences. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. IDMe offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. U.S. Pay Range $209,000 &mdash; $275,000 USD Mountain View, CA Pay Range $226,000 <