ZoomInfo

ZoomInfo

ZoomInfo provides a comprehensive B2B database that offers accurate and actionable contact and company intelligence, enabling sales and marketing teams to enhance their campaigns and improve prospecting efforts through access to direct dial phone numbe...

Professional Services
1K-5K
Founded 2000

Description

  • Establish Terraform, GitOps, CI/CD, observability, performance, cost, backup, and disaster-recovery patterns for data workloads.
  • Design reference architectures for streaming, databases, analytics, search, orchestration, processing, and lakehouse platforms.
  • Run proofs of concept for emerging data technologies and vendor offerings, assess migration and exit paths, model costs, and document recommendations.
  • Define secure connectivity and governance patterns for managed services such as Confluent Cloud, Snowflake, and MongoDB Atlas.
  • Support data consolidation, classification, residency, access-policy, and compliance initiatives.
  • Build prototypes, author ADRs and standards, and partner with owning teams to implement and scale patterns.
  • Lead architecture reviews, workshops, and design consultations across data and non-data domains.
  • Partner with platform engineering, data engineering, and FinOps to improve delivery, reliability, performance, and spend.

Requirements

  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
  • 10–15+ years of cloud infrastructure, platform, or data infrastructure engineering experience.
  • Production GCP and/or AWS architecture experience, including Kubernetes, networking, IAM, workload identity, and private connectivity.
  • Strong Terraform and GitOps experience, including designing and reviewing reusable modules.
  • Hands-on experience operating data infrastructure at multi-terabyte to petabyte scale with high throughput, concurrency, or latency sensitivity.
  • Deep production experience in at least two data domains, such as Kafka/Confluent, Flink, PostgreSQL, MongoDB, BigQuery, Snowflake, Iceberg, Elasticsearch/Solr, Airflow, or Dataflow/Beam.
  • Experience improving data workload performance and cost through query, storage, pipeline, and warehouse optimization.
  • Ability to build and test working prototypes, conduct rigorous technology evaluations, and influence teams without direct authority.
  • Preferred: experience with lakehouse/data mesh migrations, compliance controls, graph or distributed SQL databases, AI/ML data workloads, AI-augmented workflows, or architecture governance councils.

Benefits

  • US base salary range of $157,500–$247,500.
  • Additional compensation may include bonus, commission, and equity.
  • Comprehensive employee benefits.
  • Holistic mind, body, and lifestyle wellness programs.
  • Remote work opportunity.

Interested in this position?

Apply directly on the company website

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