GCP Data Architect

TechWish; Lowell (AR); Hybrid; USD 120,000 - 160,000; Full time

Job summary

TechWish is looking for a GCP Solutions/Data Architect (Hands-on) in Lowell, AR, who has extensive experience with Google Cloud Platform and can apply advanced technologies to business challenges. The ideal candidate will have over 15 years in technology and at least 10 years in Data Engineering, with a strong focus on Big Data and AI/ML. Responsibilities include leading migration projects to the cloud, implementing data architectures, and ensuring the architecture is secure and scalable.

Qualifications

• 15+ years of experience in technology and 10+ years in Data Engineering & Cloud Native technologies.
• Experience in migration projects from on-Prem to Cloud or Cloud to Cloud.
• Knowledge and working experience in Data Management and Data Governance.

Responsibilities

• Oversee migration projects to and from various cloud platforms.
• Implement and manage data architectures for scalable solutions.
• Lead technical direction on projects to ensure secure and reliable platforms.

Skills

Google Cloud Platform

Data Engineering

Analytics

AI/ML

Python

Java

Tools

Big Query

Cloud Composer

Data Flow

Cloud Storage

Vertex AI

Dataproc

Job description

Job tile : GCP Solutions/Data Architect (Hands-on)

Location : Lowel AR | Onsite (Hybrid)

We are looking for a passionate Technology professional who has experience in working with Google Cloud Platform and is passionate about applying latest technologies to solve business problems. An ideal candidate would have 15+ years of experience 10+ years of experience in Data Engineering & Cloud Native technologies (including Google Cloud Platforms) that cover the big data, analytics and AI/ML domain.

Roles and Responsibilities:

• Experienced in migration projects - on-Prem to Cloud or Cloud to Cloud.
• Implementation of Data Mesh, Data Products.
• Experience in Big Query, Cloud Composer, Data Flow, Cloud Storage, Vertex AI, Dataproc, GCP IaaS Creating, deploying, configuring and scaling applications on GCP serverless infrastructure.
• Knowledge and working experience in - Data Engineering, Data Management and Data Governance
• Experience of working in multiple End to End Data Engineering and or Analytics projects
• Knowledge of general programming languages and frameworks, in particular python and/or Java
• General technology best practices and development of lifecycles such as agile and CI/CD.
• Technical architecture leadership and direction on projects resulting in secure, scalable, reliable, and maintainable platforms.
• Architecture skills that enable the creation of future-proof, complex global solutions using GCP services.
• Implementation and/or creation of foundational architectures, event-driven and event streaming, and those that enable online machine learning systems.
• Any experience and exposure with Agentic AI will be an added advantage.
• Excellent communication and influencing skills, being able to adapt according to target audience.