Senior Google Data Architect

Description

Join us as a Google Data Architect Senior and help shape the future of our enterprise data ecosystem. In this high‑impact role, you’ll leverage the full power of the Google Cloud Platform (GCP) to design and deliver modern, scalable, and secure data solutions that fuel analytics, real‑time intelligence, and digital transformation across the organization.

As a senior technical leader, you’ll collaborate closely with engineering, product, and business partners to define target‑state data architectures and bring them to life using GCP’s modern data stack—including BigQuery, Pub/Sub, Dataflow, Cloud Composer, Apigee, GKE, and Google Cloud Bigtable for high‑throughput, low‑latency workloads.

You will translate complex business requirements into elegant end‑to‑end architecture patterns spanning data ingestion, transformation, storage, integration, and governance. Your work will directly influence the scalability, reliability, and strategic value of our data platforms while advancing the organization’s enterprise data strategy.

• Architect modern, cloud‑native data solutions using GCP’s advanced analytics and data engineering services.
• Design resilient pipelines and ingestion frameworks that support batch, streaming, and real‑time workloads.
• Apply best‑practice data modeling across conceptual, logical, and physical layers to support both operational and analytical use cases.
• Lead solution design for Bigtable‑based, high‑velocity operational data platforms.
• Collaborate with cross‑functional teams to define standards, patterns, and reusable frameworks that accelerate delivery.
• Champion secure‑by‑design practices, performance optimization, observability, and governance across all data solutions.
• Influence enterprise data strategy and help guide the evolution of our cloud data ecosystem.
• Enterprise Data Modeling & Architecture Design conceptual, logical, and physical data models supporting analytical and operational use cases, aligned with Huntington’s enterprise data architecture patterns.
• High‑Scale, Low‑Latency Data Solutions with Bigtable Architect and optimize large‑scale NoSQL data stores using Google Cloud Bigtable to support real‑time, high‑throughput systems such as digital interactions, event processing, and operational intelligence.
• Cloud‑Native Pipelines & Event Architecture Build modern data ingestion and processing frameworks using Dataflow, Pub/Sub, and GKE, reflecting cloud‑native competencies described in enterprise architect roles.
• API‑Enabled Data Services Design secure, performant, reusable data APIs leveraging Apigee and enterprise integration patterns to enable data‑as‑a‑service across the organization.
• Platform Governance, Security & Resiliency Champion secure‑by‑design patterns, observability, non‑functional requirements, and data governance practices consistent with Huntington’s architecture standards.
• Cross‑Functional Collaboration & Influence Partner with engineering, analytics, and business groups to ensure data capabilities align with enterprise strategy, mirroring collaborative expectations from senior architect roles.
  
  
  

Basic Qualifications

• Bachelor’s degree (or equivalent practical experience) in Computer Science, Information Systems, Engineering, or a related field
• Minimum 7 years of experience in data architecture, solution architecture, or cloud‑based data engineering roles
• Hands‑on experience designing and delivering enterprise‑scale data architectures in cloud environments, with strong preference for Google Cloud Platform (GCP)
• Proven ability to translate business requirements into target‑state data and solution architectures
• Strong experience with cloud‑native, event‑driven, and streaming architectures
• Experience designing scalable data ingestion, processing, and integration frameworks
• Experience participating in architecture governance processes such as design reviews, standards definition, and architectural documentation
  
  
  

Preferred Qualifications

• 10 years of experience in data architecture, solution architecture, or cloud‑based data engineering roles
• Master’s degree in Computer Science, Information Systems, or a related discipline Solid understanding of non‑functional requirements including security, resiliency, performance, availability, and observability
• Deep expertise with Google Cloud Platform services, includin
• Strong communication and collaboration skills, with the ability to influence engineering teams and partner with business and product stakeholders
• g Bigtable, Pub/Sub, Dataflow, Cloud Composer, GKE, and Apigee
• Experience architecting high‑throughput, low‑latency operational data platforms using NoSQL or wide‑column databases (e.g., Bigtable or similar technologies)
• Strong background in data governance, data quality, lineage, and metadata management
• Experience implementing observability, monitoring, and resiliency patterns in cloud‑native data systems
• Familiarity with DevSecOps practices, CI/CD pipelines, and infrastructure‑as‑code approaches
• Experience working in large‑scale or regulated enterprise environments
• Demonstrated ability to mentor engineers or architects and provide technical leadership across multiple teams
• Google Cloud certifications such as Professional Cloud Architect or Professional Data Engineer (preferred but not required)
  
  
  

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

93,000.00 - 189,000.00 USD Annual

The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.  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.