Senior Google Data; AI Architect

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 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.

• 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.

• 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 Big Query, 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.

• 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 Dev Ops, CI/CD, IaC (Terraform), or platform engineering concepts.
• Certification:
  Professional Data Engineer or Professional Cloud Architect (GCP).

Total Base Pay Range: $93,000.00 - $ USD Annual.

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.