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.
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