Principal Cloud Data Platform Architect

Devopsroles

Bethesda (MD)

Hybrid

USD 158,000 - 248,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits
Well-being programs

Job summary

ZoomInfo is seeking a Principal Infrastructure Architect with a data specialty to partner with our data engineering organization. You will shape patterns for data workloads, design scalable cloud infrastructure on GCP/AWS, and ensure robust CI/CD, monitoring, and cost controls while staying hands-on through critical enablement initiatives.

You will drive architecture reviews, establish enterprise standards, and guide multiple teams in selecting technologies like Kafka/Confluent, BigQuery, and

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 10+ years of cloud infrastructure, platform, or data infrastructure engineering experience.
  • Experience establishing patterns and standards used by multiple teams.

Responsibilities

  • Establish infrastructure patterns for data workloads and build reference implementations.
  • Define CI/CD and GitOps patterns for data jobs and pipelines.
  • Evaluate new data technologies through structured POCs.
  • Provide enablement and architectural guidance across teams.

Skills

Cloud architecture
GCP/AWS
Terraform
GitOps
Kubernetes
Data infrastructure
Cost optimization
Performance tuning
Architecture reviews
ADR/Documentation

Education

Bachelor's degree in Computer Science

Tools

Kafka/Confluent
BigQuery
Snowflake
Iceberg
Elasticsearch
Airflow
Dataflow
Beam
PostgreSQL
MongoDB

Job description

ZoomInfo is seeking a Principal Infrastructure Architect with a data specialty to partner with our data engineering organization. You will shape patterns for data workloads, design scalable cloud infrastructure on GCP/AWS, and ensure robust CI/CD, monitoring, and cost controls while staying hands-on through critical enablement initiatives.

You will drive architecture reviews, establish enterprise standards, and guide multiple teams in selecting technologies like Kafka/Confluent, BigQuery, and

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