Principal Infrastructure Architect: Data Platform
Remote · Bethesda · USD 157,500-247,500 · 10-15 years experience · Full-time · Remote · Posted Sep 21, 2026
At a glance
- Experience
- 10-15 years experience
- Employment
- Full-time
- Workplace
- Remote
- Location
- Remote · Bethesda
- Salary
- USD 157,500-247,500 · OTE
About ZoomInfo
- ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
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- ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
- For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
About the role
- As a Principal Infrastructure Architect on the Infrastructure Architecture team, you serve as the architecture team's partner to ZoomInfo's data engineering organization.
- You bring cloud, Kubernetes, networking, and infrastructure-as-code foundations along with hands-on depth in data systems to help teams build and run platforms well on GCP.
Responsibilities
- Establish infrastructure patterns for data workloads including streaming and messaging, operational databases, analytical stores, search, pipeline orchestration and processing, and open table formats.
- Build the data paved road by defining CI/CD and GitOps patterns for data jobs and pipelines.
- Establish performance, cost, and observability patterns to give data teams guidance to run stores and pipelines efficiently.
- Evaluate new technologies by running structured POCs of emerging data technologies and vendor offerings.
- Bring managed data services inside the perimeter by defining patterns for connecting vendor-managed data planes to the GCP environment.
- Support data consolidation and governance efforts by contributing infrastructure guidance to data engineering's work.
- Prototype and hand off by building the reference implementation, writing the ADR, and partnering with owning teams.
- Participate in architecture review by bringing a consistent rubric to weekly architecture reviews and expanding the standards library.
- Enable teams by hosting design reviews, workshops, and serving as an infrastructure consultant.
Requirements
- Influence and communication skills to present recommendations and get patterns adopted across engineering organizations.
- Cloud infrastructure foundation with production experience architecting on GCP and/or AWS, including compute and Kubernetes, VPC networking, IAM, and workload identity.
- Strong Terraform and GitOps skills, including designing and reviewing modules.
- Hands-on data infrastructure experience at scale, building and operating infrastructure under data platforms at multi-terabyte to petabyte scale.
- Depth in at least two data domains and fluency across the rest.
- Performance and cost engineering experience diagnosing and fixing expensive or slow data workloads.
- Development and operational depth to dive into code and test behavior under load.
- Technology evaluation experience running rigorous evaluations that separate vendor pitch from architectural fit.
- Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
Preferred qualifications
- Supported a lakehouse or data mesh migration from the infrastructure side.
- Implemented data classification, residency, or privacy/compliance controls at the infrastructure layer.
- Run graph or distributed SQL databases in production.
- Know the infrastructure demands of AI/ML data workloads.
- Built or applied AI-augmented developer or architecture workflows.
- Run or participated in an Architecture Review Council or equivalent governance body.
Benefits
- Comprehensive benefits
- Holistic mind, body and lifestyle programs designed for overall well-being
- Bonus, Commission, Equity and other benefits
Workplace
- Remote; Bethesda
Skills
- Kubernetes
- GCP
- AWS
- Terraform
- GitOps
- Kafka
- Confluent
- Pub/Sub
- PostgreSQL
- MongoDB
- BigQuery
- Snowflake
Show all 15 skills
- Elasticsearch
- Apache Airflow
- Dataflow
