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2 месяца назад

Cloud Data Platform Engineering Lead (GCP)

138 800 - 231 300$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Cloud Data Platform Engineering Lead (GCP): Architect and drive enterprise-scale data solutions on Google Cloud Platform with an accent on performance, security, AI/ML integration, and data lifecycle management. Focus on designing high-throughput pipelines using Apache Spark, Flink, and Dataflow, optimizing cloud costs, and establishing data governance frameworks.

Location: Hybrid model requiring 2 days per week on-site at 20 S Wacker Dr, Chicago, IL 60606. First preference for local candidates in the Chicago area.

Salary: $138,800-$231,300

Company

World’s leading derivatives marketplace impacting global markets.

What you will do

  • Architect enterprise data solutions using GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Vertex AI, focusing on performance and security.
  • Drive adoption of cloud-native tools including Kubernetes, Terraform, Argo Workflows, and CI/CD frameworks.
  • Integrate data workflows with operational and analytical stores for system interoperability.
  • Scout and adopt emerging GCP services to future-proof the data platform.
  • Define data lifecycle strategies adhering to governance and regulatory standards.
  • Optimize cloud costs and establish best practices for data quality, metadata, and lineage.
  • Mentor teams on Java and Python development best practices.

Requirements

  • Bachelor’s or Master’s in Computer Science or related field.
  • 10+ years software/data engineering, including 5+ years hands-on GCP architecture.
  • Expert in Java, strong in Python.
  • Mastery of Kubernetes, Terraform, KCC, Argo Workflows, CI/CD.
  • Advanced GCP knowledge: BigQuery, Cloud SQL, IAM, KMS, GKE, GCS, Pub/Sub, Vertex AI.
  • Experience with Apache Spark/Flink in Java ecosystem.
  • Understanding of data stores, semantic layers (Looker/Tableau), SDLC, data security.

Nice to have

  • Google Cloud Professional Data Engineer or Cloud Architect certification.

Culture & Benefits

  • Supportive environment with career progression and continuous learning.
  • Comprehensive benefits: health coverage, 401(k), pension, education reimbursement, paid time off, mental health support.
  • Annual bonus and equity program.
  • Inclusive culture valuing diverse perspectives.

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