Senior Data Architect – AI

Huntington National Bank

Senior Google Cloud Data Architect influencing data as a product and service capabilities on Google Cloud. Evolving platforms for analytics, AI, and intelligent applications in a modern financial institution.

Posted 5/28/2026full-timeColumbus • Illinois, Missouri, Ohio, Texas • 🇺🇸 United StatesSenior💰 $93,000 - $189,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudDistributed SystemsGoogle Cloud PlatformJavaMicroservicesPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

health insurance coverage
wellness program
life and disability insurance
retirement savings plan
paid leave programs
paid holidays
paid time off (PTO)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturecloud data engineeringenterprise data platform designdata modelingdata pipelinesSQLPythonJavaevent-driven architecturereal-time analytics

Soft Skills

communicationmentoringinfluencing decision makerssimplifying complexity