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Senior Google Data Center Engineer Jobs (NOW HIRING)

Huntington

Senior Google Data (AI) Architect

Dallas, TX

$66.50 - $89/hr

If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how ... Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ...

Huntington

Senior Google Data (AI) Architect

Minnetonka, MN · On-site

$68.50 - $91.75/hr

If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how ... Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ...

Huntington

Senior Google Data (AI) Architect

Charlotte, NC · On-site

$65.75 - $88/hr

If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how ... Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ...

Huntington

Senior Google Data (AI) Architect

Houston, TX · On-site

$62.75 - $84/hr

If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how ... Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ...

Huntington

Senior Google Data (AI) Architect

Cleveland, OH

$65.25 - $87.25/hr

If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how ... Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ...

Huntington

Senior Google Data (AI) Architect

Minnetonka, MN · On-site

$68.50 - $91.75/hr

If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how ... Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ...

Huntington

Senior Google Data (AI) Architect

Chicago, IL

$69.25 - $92.75/hr

If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how ... Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ...

Huntington

Senior Google Data (AI) Architect

Akron, OH

$64.25 - $86/hr

If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how ... Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ...

Judge Group, Inc.

GOOGLE Data Architect

Columbus, OH · Remote

$75 - $85/hr

... Senior Google Cloud Data Architect to design and lead scalable, cloud-native data platforms on ... Mentor teams and drive best practices in data engineering and architecture Required Qualifications ...

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Senior Google Data Center Engineer information

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$81K

$126.3K

$175K

How much do senior google data center engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for senior google data center engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Google Data Center Engineer vs Network Operations Engineer?

AspectSenior Google Data Center EngineerNetwork Operations Engineer
CredentialsBachelor's in Engineering or Computer Science, relevant certifications (e.g., CCNA, CCNP)Bachelor's in Networking, IT, or related field; certifications like CCNA, CompTIA Network+
Work EnvironmentData centers, hardware maintenance, infrastructure designNetwork monitoring, troubleshooting, and support in data centers or network operations centers
Employer & Industry UsageGoogle, tech companies, large-scale data infrastructureTelecom, internet service providers, large enterprises

The Senior Google Data Center Engineer focuses on designing, maintaining, and optimizing data center infrastructure at Google, while a Network Operations Engineer primarily manages network performance, troubleshooting, and support. Both roles require networking certifications and work in data center environments, but their core responsibilities differ in scope and focus.

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What cities are hiring for Senior Google Data Center Engineer jobs? Cities with the most Senior Google Data Center Engineer job openings:
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Senior Google Data Center Engineer jobs near you
Infographic showing various Senior Google Data Center Engineer job openings in the United States as of May 2026, with employment types broken down into 7% As Needed, 75% Full Time, 2% Part Time, 14% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Google Data (AI) Architect

Huntington

Dallas, TX

$66.50 - $89/hr

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago

Job description

Description
Job Description Summary
  • We are seeking an exceptional Senior Google Cloud Data Architect who is passionate about building world class, cloud native data platforms and data services that power the enterprise.
  • This is not a generic architect role - it is a high influence, high ownership opportunity to help define how a modern financial institution designs, scales, and operates data platforms on Google Cloud, with a strong focus on enabling data as a product and data as a service capabilities.
  • You will play a key role in evolving our platforms to support not only analytics and operational workloads, but also emerging AI and intelligent application patterns that depend on high-quality, well-governed, and accessible data.
  • If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how data platforms evolve to support the next generation of intelligent systems, we want to meet you.
  • Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ecosystem. In this high impact role, you'll leverage Google Cloud to design and deliver scalable, secure, and reusable data platforms and APIs that fuel analytics, real-time processing, and enterprise integration.
  • You will define how data is ingested, processed, governed, and exposed across the organization, enabling consistent and reliable access to trusted data.
  • In parallel, you will help extend these platforms to support AI/ML and emerging agent-driven use cases, ensuring our data foundation is fully prepared to power intelligent applications and automated decisioning in a controlled, enterprise-ready manner.

Job Description Details:

  • Define and evolve target-state data platform and data services architecture aligned to business strategy and modernization goals
  • Establish enterprise standards and reference architectures for data as a service, event-driven architecture, and API-based data access
  • Drive adoption of data as a strategic asset, enabling operational, analytical, and intelligent system use cases across the enterprise
  • Architect scalable data platforms that support both traditional workloads and emerging AI/ML use cases, grounded in trusted enterprise data
  • Define integration patterns that unify data services, APIs, and AI capabilities to enable intelligent applications and automation
  • Enable data accessibility, reuse, and contextualization to support cross-platform consumption, including emerging agent-driven workflows
  • Establish foundational patterns for data retrieval, context enrichment, and grounding to support advanced use cases such as AI and real-time decisioning
  • Architect and design enterprise-grade data pipelines supporting batch, streaming, and real-time workloads
  • Build and standardize data ingestion, transformation, and distribution frameworks that power scalable data services capabilities
  • Ensure delivery of high-quality, governed, and trusted data pipelines that support analytics, APIs, and downstream intelligent applications
  • Implement best practices for event-driven data movement and microservices-based integration patterns
  • Design data models and structures that enable data productization and consumption across analytics, APIs, and AI-driven use cases
  • Architect high-performance storage solutions (including Bigtable, Spanner and other GCP services) to meet throughput, latency, and scalability requirements
  • Enable secure, governed, and efficient data access patterns across operational, analytical, and real-time environments
  • Serve as a trusted advisor and technical leader, mentoring teams, driving best practices, and partnering with stakeholders to identify high-value data and AI-enabled use cases
  • We are seeking an exceptional Senior Google Cloud Data Architect who is passionate about building world class, cloud native data platforms and data services that power the enterprise.
  • High influence, high ownership opportunity to help define how a modern financial institution designs, scales, and operates data platforms on Google Cloud, with a strong focus on enabling data as a product and data as a service capabilities.
  • You will play a key role in evolving our platforms to support not only analytics and operational workloads, but also emerging AI and intelligent application patterns that depend on high-quality, well-governed, and accessible data.
  • If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how data platforms evolve to support the next generation of intelligent systems, we want to meet you.

Basic (Required) Qualifications

  • Minimum 7 years of experience in data architecture, cloud data engineering, or enterprise data platform design.
  • Deep hands-on expertise with multiple GCP services, including: BigQuery, Bigtable, Pub/Sub, Dataflow (Beam), Cloud Composer, GKE, Apigee, Cloud Storage, Gemini Enterprise Agent Platform
    • Strong experience designing large scale data models for operational workloads.
    • Proven ability to build resilient, scalable pipelines for high volume batch and streaming data.
    • Proficiency in SQL and experience with Python or Java for data engineering pipelines.
    • Strong understanding of distributed systems, workflow orchestration, real time analytics, and event-driven design.
    • Experience designing secure, governed, production grade cloud architectures.
  • Excellent communication skills with the ability to simplify complexity and influence decision makers.

Preferred Qualifications

  • Experience with enterprise financial services, payments, or transaction heavy domains.
  • Background in API first design, microservices, and federated data architectures.
  • Familiarity with data governance frameworks, lineage, cataloging tools, or metadata platforms.
  • Experience with DevOps, CI/CD, IaC (Terraform), or platform engineering concepts.
  • Certification: Professional Data Engineer or Professional Cloud Architect (GCP).


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

Total Base Pay Range 93,000.00 - 189,000.00 USD Annual

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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