GCP Senior Staff Engineer - Data & MLOps Platform

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.

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.

Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup’s 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World’s Most Ethical Companies. Learn more at Experis.com.