1 day ago
Base Salary
$209k - $296k/yr
Responsibilities
- Assess ID.me’s relational, event-driven, graph-based, and API data landscape, including technical debt, bottlenecks, and business priorities.
- Own and drive a multi-phase architectural roadmap for modern, scalable, API-first and event-driven data systems.
- Design and implement foundational data APIs, event-driven architectures, streaming pipelines, graph data models, encryption services, and automated data lifecycle systems.
- Partner with executive leadership, product, security, compliance, and application engineering teams to align data architecture with business and regulatory objectives.
- Establish standards and self-service tooling for data modeling, schema hygiene, metadata, lineage, governance, and access patterns.
- Embed security, privacy, compliance, auditability, data retention, and encryption into data architecture.
- Build prototypes, review architecture, optimize database and query performance, support migrations, and resolve high-severity architectural issues.
- Mentor Staff and Senior engineers and align cross-functional teams around data ownership and stewardship practices.
Requirements
- 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.
- Track record of diagnosing complex brownfield engineering environments and executing multi-quarter technical transformation roadmaps.
- Deep experience designing large-scale data architectures across relational databases, event-driven systems, and graph or NoSQL data stores.
- Strong proficiency in one or more of Go, Java, Python, Ruby, or Rust, along with advanced SQL.
- Experience with large-scale data migrations, monolithic database decomposition, API-first data boundaries, and data contracts is preferred.
- Experience with PostgreSQL, AlloyDB, CloudSQL, Neo4j, Amazon Neptune, or similar relational and graph database systems is preferred.
- Experience architecting event-driven platforms and real-time streaming pipelines using technologies such as Google Pub/Sub, Kafka, Dataflow, or Temporal on GCP or AWS is preferred.
- Experience designing data governance, retention, privacy, and encryption frameworks in regulated environments is preferred.
- Experience designing data architectures that support AI/ML and analytical platforms, plus fluency with AI-assisted engineering workflows, is preferred.
- Exceptional written and verbal communication skills for explaining architectural trade-offs to technical and executive audiences are preferred.
Benefits
- Comprehensive medical, dental, and vision coverage, health savings and flexible spending accounts, commuter benefits, life and AD&D insurance, disability insurance, accident and critical illness insurance, and 401(k) with company match.
- Parental leave, unlimited paid time off subject to policy, eight company-wide holidays, employee assistance, pet insurance, travel assistance, wellbeing and childcare discounts, benefit advocates, referral bonus eligibility, and learning and development benefits.
- Full-time, in-office work five days per week in Mountain View, CA, or McLean, VA.
Tech Stack
Categories
Data Engineering
About ID.me
ID.me builds a secure digital identity network and wallet used for identity proofing, sign-in, and community verification across government, healthcare, and commerce. The company sells authentication and verification services to agencies and enterprises, including NIST 800-63-3 IAL2/AAL2–approved credentials, plus group eligibility checks for discounts. Founded in 2010 and headquartered in McLean, VA, ID.me supports access at 20 U.S. federal and 45 state agencies and 70+ healthcare organizations.