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# GCP Senior Staff Engineer - Data & MLOps Platform

- **Company:** Experis
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Data Analysis, Apache HTTP Server, Cloud Computing, Computer Programming, Data as a Services, Information Engineering, Data Warehousing, Distributed Computing Environment, Python (Programming Language), SQL Databases, Apache Spark, Data Lakes, Kubernetes, Machine Learning Operations, Databricks
- **Published:** September 4, 2026
- **Apply:** https://www.experis.com/en/job/410386/gcp-senior-staff-engineer-data-mlops-platform

## About the Role

Experience 10+ years of data engineering/architecture experience, including 3+ years operating at a Staff or Senior Staff level.
Cloud & Architecture
Deep, hands-on architectural expertise in GCP (BigQuery, Cloud
Composer/Airflow, Dataflow, Dataproc, GCS) and Infrastructure as Code
(Terraform).
Platform Modernization
Demonstrated success leading large-scale, multi-cloud or legacy data migrations
with minimal operational disruption.
MLOps Capabilities
Proven experience building production MLOps platforms (Vertex AI, Kubeflow,
MLflow, feature stores, model registry, monitoring).
Programming & Data
Advanced proficiency in Python, distributed computing frameworks (Spark), and
modern data modeling (SQL, dbt).
Leadership Track record of driving cross-functional alignment across Data Engineering, Data Science, and Analytics stakeholders.
Preferred Qualifications
Legacy Ecosystems
Working knowledge of AWS data services and Databricks / Delta Lake
environments.
Modern Data Stack
Experience with Apache Iceberg, open table formats, and Kubernetes-based
orchestration.

## Description

We are seeking a visionary Senior Staff Data Platform Engineer to spearhead our next generation enterprise data modernization. In this role, you will lead the strategic migration of our data estate from AWS/Databricks to Google Cloud Platform (GCP). You will architect centralized, enterprise-grade ingestion, transformation, and serving frameworks, while scaling automated self-service tooling and our production MLOps ecosystem.
Core Responsibilities
Cloud Migration & Modernization
Architect and execute the enterprise data platform migration from
AWS/Databricks to a modern, centralized GCP stack.
Enterprise Frameworks
Design and build standardized, reusable ingestion, transformation, and data serving layers with built-in governance and quality controls.
Developer Experience & Tooling
Create self-service automation tooling to empower Data Engineers, Analysts,
and Data Scientists with frictionless workflows.
MLOps Architecture Lead the technical roadmap for MLOps platforms-scaling feature stores, automated CI/CD pipelines for models, and robust inference infrastructure.
Technical Strategy & Mentorship
Set technical standards, define architectural guardrails, and mentor senior
engineering talent across the organization.


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