FDE (Forward Deployment Engineer)

Role Summary:

We are seeking a customer-focused Cloud, Data & AI Consultant with strong expertise in

Google Cloud Platform (Google Cloud Platform), cloud infrastructure, modern data platforms, AI/ML, and

application modernization. The candidate will serve as a trusted advisor, helping

customers design, implement, and optimize scalable cloud-native solutions while enabling

engineering teams through technical leadership and best practices.

Key Responsibilities:

• Architect and implement cloud solutions on Google Cloud Platform (Google Cloud Platform).

• Design scalable infrastructure leveraging Kubernetes (GKE), networking, load

balancers, API gateways, and security services.

• Build modern data platforms using Lakehouse architecture, BigQuery, Delta Lake,

Iceberg, and Spark/PySpark.

• Develop real-time data solutions using Apache Kafka, CDC, Debezium, and eventdriven architectures.

• Design and deploy AI/ML and Generative AI solutions using Vertex AI and modern

MLOps practices.

• Design and develop cloud-native applications using Java, Python, React, Spring

Boot, and Microservices.

• Create CI/CD pipelines, Infrastructure as Code (Terraform), and platform

automation.

• Build analytics and reporting solutions using Tableau, Coginiti, Strategy and other BI

tools.

• Lead customer workshops, architecture reviews, and cloud modernization

initiatives.

• Create reusable reference architectures, accelerators, and technical guidance for

field engineering teams.

Required Skills:

• Google Cloud Platform Cloud Architecture & Infrastructure

• Kubernetes (GKE), Networking, Load Balancers

• API Management & API Gateways (Apigee, Kong, etc.)

• Apache Kafka & CDC Technologies

• Lakehouse & Data Platform Architecture

• Apache Spark / PySpark

• AI/ML, Generative AI, Vertex AI, MLOps

• Java, Python, React

• Terraform, CI/CD, DevOps

• BigQuery and Enterprise Data Analytics

• BI Tools: Looker, Power BI, Tableau

Preferred Qualifications:

• 7+ years of cloud consulting, architecture, or engineering experience.

• Google Cloud Platform Professional Cloud Architect, Data Engineer, or ML Engineer certifications.

• Experience leading enterprise cloud, data, and AI transformation programs.

• Strong communication, stakeholder management, and customer advisory skills.

Ideal Candidate:

A hands-on consultant with expertise across Google Cloud Platform, Kafka, API Gateways, Lakehouse, BI,

AI/ML, Java, Python, React, and Spark, capable of driving enterprise-scale cloud, data, and

AI modernization initiatives from strategy through implementation.