Data & AI Consultant

Hptech Inc.

East Coast of the United States, United States

18 days ago

Apply on www.dice.com

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Artificial Intelligence Data Analysis BigQuery Cloud Computing Cloud Engineering Information Technology Consulting Continuous Integration Data Architecture Data Infrastructure DevOps Python (Programming Language)

+28 more

Machine Learning Power BI Cloud Services Tableau (Software) Enterprise Data Management Google Cloud Load Balancing Spring Cloud ReactJS Apache Spark Spring-boot Generative AI HybridCloud Apigee Event Driven Architecture Data Lakes Pyspark Debezium Kubernetes Infrastructure Automation Frameworks Real Time Data Apache Kafka Machine Learning Operations Api Gateway Terraform Looker Analytics Api Management Microservices

Job description

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., * 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 event-driven 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

Requirements

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.