Senior Principal Software Engineer

ZoomInfo

3 months ago

Remote, United States

Senior / Staff+

H1B Sponsor

Base Salary

$190k - $299k/yr

Responsibilities

Design and build scalable infrastructure for GTM Store and ZDP with sub-second query latency.
Architect and implement metadata-driven GraphQL APIs for dynamic schema generation and query federation.
Develop asynchronous secondary indexing systems for scaling capacity and reducing primary data store load.
Design real-time analytics streaming data pipelines from BigTable to BigQuery.
Develop data mutation and deletion frameworks supporting GDPR compliance and schema evolution.
Implement CDC pipelines and calculated field processing for derived data views.
Build observability and monitoring solutions for real-time issue diagnosis across distributed data systems.
Create batch and streaming data processing workflows for complex relationships at scale.
Collaborate with engineering leaders and product managers to define the technical roadmap.
Mentor engineers and establish best practices for cloud-native data infrastructure development.
Partner with cross-functional teams to address data platform requirements and challenges.
Drive solutions for data freshness, query performance, and system reliability challenges.

Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).
12+ years of software engineering experience building large-scale data platforms.
Expertise with distributed NoSQL databases and data warehousing systems.
Strong experience with Java 8+, Scala, Kotlin, GoLang for data systems development.
Proven experience with GCP or AWS and cloud-native architectures.
Experience with streaming/real-time data processing technologies.
Strong system design skills for architecting multi-tenant, distributed systems.
Hands-on experience with Google Cloud Platform services.
Knowledge of CDC patterns, event sourcing, and streaming architectures.
Experience solving data freshness and consistency challenges in distributed systems.
Background in building observability and monitoring solutions for data platforms.
Familiarity with metadata management and schema evolution.
Experience with Kubernetes for deploying data services.
SQL query optimization and performance tuning expertise.
Experience building GraphQL APIs with federated or metadata-driven schema generation.
Strong problem-solving skills and the ability to debug complex distributed systems issues.
Excellent communication skills for explaining technical decisions to diverse audiences.
Self-directed with the ability to drive initiatives independently while collaborating with teams.
Passion for building reliable, observable, and maintainable systems.
Experience promoting diverse, inclusive work environments.

AWSGoGoogle BigQueryGoogle Cloud PlatformGraphQLJavaKotlinKubernetesScalaSQL