As a Senior Staff Engineer on the Cloud Data Platform team at CME, you will architect and drive enterprise-scale data solutions using Google Cloud Platform (GCP) tools such as BigQuery, Dataflow, and Vertex AI, ensuring seamless integration with operational and analytical stores. You’ll champion cloud-native workflows, mentor engineering talent in Java and Python development, and optimize the platform for cost efficiency while maintaining high performance standards. This role requires expertise in Kubernetes, Terraform, CI/CD frameworks, and large-scale data processing tools like Apache Spark and Flink, along with a deep understanding of GCP services and compliance regulations. Ideal candidates have 10+ years of experience designing complex cloud architectures and hold certifications such as Google Cloud Professional Data Engineer or Cloud Architect.
Skills
Google Cloud Platform
Kubernetes
Terraform
BigQuery
Dataflow
Cloud Storage
Pub/Sub
Vertex AI
CI/CD
Apache Spark
Apache Flink
Java
Python
Looker
Tableau
IAM
KMS
GKE
SDLC
Data Governance
What you'll do
Lead design and development of enterprise-scale data solutions using GCP tools.
Drive adoption of Kubernetes, Terraform, and CI/CD frameworks in cloud-native workflows.
Integrate data workflows with operational and analytical stores for system interoperability.
Scout and adopt emerging GCP services to enhance data capabilities and future-proof architecture.
Define and enforce robust strategies for the entire data lifecycle adhering to governance standards.
Optimize enterprise-wide cloud costs while maintaining high-performance metrics and resource efficiency.
What we're looking for
10+ years of progressive software and data engineering experience with a focus on GCP architectures.
Expert-level proficiency in Java and strong proficiency in Python or similar languages.
Mastery of Kubernetes, Terraform, KCC, Argo Workflows, and CI/CD frameworks.
Advanced knowledge of BigQuery, Cloud SQL, IAM, KMS, GKE, GCS, Pub/Sub, and Vertex AI.
Hands-on experience with large-scale processing frameworks like Apache Spark or Apache Flink in Java ecosystem.
Strong understanding of operational/analytical data stores and semantic layer design using tools like Looker or Tableau.
Deep knowledge of SDLC processes, data security, and comprehensive data lifecycle management.
Market check
Salary context
This
$138,800–$231,300
range sits above
63%
of similar postings on FindRole.
Peer median band
$114,750–$209,350
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$133,762–$211,200
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About CME Group
CME Group operates the world''s largest financial derivatives marketplace, offering futures and options products across interest rates, equity indexes, foreign exchange, energy, agricultural products, and metals. Industry: Financial Exchanges & Derivatives
CME Group currently has
11 open roles
on FindRole.
Listed pay typically runs
$117,050–$195,050
across 10 roles with salary data.
Azure
AWS
Databricks
SQL
Python
Spark
Workday Adaptive
Anaplan
SAP BPC
Azure Synapse
Redshift
ETL/ELT
REST
SOAP
MS Fabric
Data Lake
Data Warehousing
Schema Design
Dimensional Data Modeling
Linux
Unix
RHEL
CentOS
SUSE
Bash
Python
Ansible
Terraform
TCP/IP
DNS
SSH
VmWare
OpenShift
System Security
User Access Controls
OS Hardening
Patch Management
Compliance
CI/CD