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Google Cloud Platform Jobs in Spring, TX (NOW HIRING)

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Senior DevOps Engineer, AI Platform

Houston, TX · On-site

$150 - $210/hr

Partner with the Principal Cloud Engineer to implement Google Cloud Platform foundations while leading day-to-day DevOps enablement, release engineering, Kubernetes operations, pipeline reliability ...

Abacus Service Corporation

Infrastructure Engineer

Houston, TX · On-site

$102K - $134K/yr

This includes migrating workloads from on-premises infrastructure to Google Cloud Platform using Infrastructure as Code (IaC), Terraform, GitHub, and CI/CD automation. The ideal candidate is a hands ...

Neshent Technologies

AI Architect

Houston, TX · Remote

$60.25 - $79.25/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Bellaire, TX · Remote

$56.75 - $74.75/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

West University Place, TX · Remote

$58.25 - $77/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Southside Place, TX · Remote

$56.25 - $74.25/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

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How much do google cloud platform jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for google cloud platform in Spring, TX is $54.92, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $65.87 per hour, depending on experience, location, and employer.

What is a Google Cloud Platform?

A Google Cloud Platform (GCP) job involves working with Google's cloud computing services to build, deploy, and manage applications and infrastructure. Professionals in this role may specialize in cloud architecture, data engineering, security, or DevOps. Common responsibilities include configuring cloud resources, optimizing performance, ensuring security compliance, and managing cloud-based applications. These roles often require expertise in GCP services like Compute Engine, BigQuery, Kubernetes Engine, and Cloud Storage.

What are the typical responsibilities of a Google Cloud Platform professional?

Professionals working with Google Cloud Platform (GCP) typically design, build, and manage scalable cloud-based solutions tailored to their organization's requirements. Their daily tasks can involve configuring virtual machines, setting up cloud networking, managing databases, ensuring security compliance, and automating workflows using GCP services. Collaboration with software development, operations, and security teams is common to ensure smooth integration and optimal performance. Additionally, GCP specialists may be responsible for troubleshooting cloud issues and optimizing resources to control costs. This role offers ongoing learning opportunities as new cloud services and best practices evolve.

What skills and qualifications are needed for a Google Cloud Platform role?

To excel in a Google Cloud Platform role, you need a strong background in cloud computing, IT infrastructure, and software development, often evidenced by experience with cloud architectures and relevant technical degrees or certifications. Familiarity with tools like Google Cloud Console, BigQuery, Kubernetes, and certifications such as Google Cloud Professional Cloud Architect are highly valued. Effective problem-solving, collaboration, and communication skills help in working with diverse teams and addressing client needs. Mastery of these competencies allows for the successful deployment and management of robust cloud solutions that meet business objectives.

How to get a job at Google Cloud Platform?

To get a job at Google Cloud Platform, candidates should develop skills in cloud computing, networking, and programming, and gain relevant certifications such as Google Cloud Professional certifications. Applying through Google's careers website and demonstrating experience with cloud services, infrastructure, and problem-solving increases chances of selection.

What can you do with Google Cloud Platform?

A Google Cloud Platform professional can utilize cloud services to develop, deploy, and manage applications and infrastructure. This includes working with virtual machines, data storage, machine learning tools, and networking solutions, often requiring knowledge of cloud architecture and certifications like the Google Cloud Certified Professional Cloud Architect.

What are popular job titles related to Google Cloud Platform jobs in Spring, TX?

For Google Cloud Platform jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Google Cloud Platform jobs in Spring, TX look for?

The top searched job categories for Google Cloud Platform jobs in Spring, TX are:

What cities near Spring, TX are hiring for Google Cloud Platform jobs?

Cities near Spring, TX with the most Google Cloud Platform job openings:

Google Cloud Platform jobs near you
Infographic showing various Google Cloud Platform job openings in Spring, TX as of August 2026, with employment types broken down into 61% Full Time, 37% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $114,231 per year, or $54.9 per hour.

Google Cloud Platform Architect With MDM Experience

Robustware

Houston, TX • On-site

Other

Posted 4 days ago

Job description

Role: Google Cloud Platform Architect  With MDM Experience

Location: Local to Houston, TX (3 days onsite)

Domain Focus: Identity Resolution, Customer 360, Master Data Management (MDM), Golden Record Formation, Data Governance.

Experience:

  • 10+ years of experience in data architecture, master data management, or enterprise data platforms.
  • 5+ years of hands-on experience architecting solutions on Google Cloud Platform.
  • Proven experience delivering Identity Resolution and Golden Record initiatives at enterprise scale.

Key Responsibilities:

Solution Architecture

  • Design end-to-end cloud-native identity resolution and Golden Record formation solutions on Google Cloud Platform.
  • Define scalable architecture patterns for customer, product, provider, and enterprise master data domains.
  • Establish data integration frameworks to ingest and process structured and unstructured data from multiple source systems.

Identity Resolution

  • Design deterministic and probabilistic matching strategies for customer identity resolution.
  • Develop entity matching frameworks leveraging: Exact matching, Fuzzy matching, Machine learning-based matching, Survivorship, and confidence scoring.
  • Define identity graphs and entity relationship models for cross-channel identity management.
  • Establish matching thresholds, merging rules, and exception handling processes.

Golden Record Formation

  • Design and implement Golden Record creation frameworks.
  • Define survivorship rules and source system prioritization.
  • Develop data standardization, cleansing, enrichment, and consolidation processes.
  • Ensure Golden Records maintain consistency, accuracy, completeness, and traceability.

Google Cloud Platform Data Platform Development

Design solutions using Google Cloud Platform services such as: BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Composer, Vertex AI, Dataplex, Cloud Functions, Cloud Run

  • Build streaming and batch data processing architectures.
  • Implement scalable metadata and reference data management capabilities.

Data Quality & Governance

  • Define enterprise data quality frameworks and KPIs.
  • Implement monitoring for: Completeness, Uniqueness, Accuracy, Consistency, Timeliness
  • Collaborate with governance teams to establish business rules, stewardship workflows, and audit mechanisms.
  • Ensure compliance with privacy and regulatory requirements including GDPR, CCPA, and healthcare standards where applicable.

 

Advanced Analytics & AI

  • Utilize Vertex AI and ML models to improve match accuracy and identity resolution.
  • Implement continuous learning mechanisms for matching and survivorship optimization.
  • Enable customer 360 and analytical data products leveraging Golden Records.

 

Stakeholder Collaboration

  • Collaborate with business stakeholders, data architects, engineering teams, product owners, and governance teams.
  • Translate business requirements into scalable technical architecture.
  • Provide technical leadership and architectural guidance across delivery teams.

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