Senior Enterprise Cloud Data Architect & AI Platform

Panera Bread; Saint Louis (LA); Hybrid; USD 189,000 - 227,000; Full time

Job summary

Panera Bread is seeking an experienced Enterprise Cloud Data Architect to define, design, and govern a next‑gen data ecosystem on Google Cloud Platform (GCP). You will set the enterprise data reference architecture, governance, and AI readiness with a Data as a Product mindset.

The role involves shaping data strategies, overseeing data ingestion into Data Lake/Medallion Architecture, modeling data across domains, and driving secure, scalable cloud data solutions.

Qualifications

• Bachelor’s degree in computer science, Engineering, MIS, or related field (Master’s preferred).
• 10+ years of enterprise data architecture experience in large-scale data environments.
• Strong understanding of GCP core services and data governance.
• Proficiency in Python, Spark, PySpark, and Pandas for data processing.

Responsibilities

• Define the Enterprise Data Reference Architecture and governance frameworks.
• Lead data ingestion to Enterprise Data Lake and Medallion Architecture.
• Architect for BigQuery storage, transactional stores, and AI readiness.
• Implement data governance, DLP in GCP BigQuery.
• Mentor engineers on architectural standards.
• Lead PoC and pilot ideas into enterprise-grade designs.

Skills

Data architecture

Data modeling

Cloud strategy

GCP BigQuery

Python

Spark

ETL pipelines

Terraform

CI/CD

Kafka

Distributed systems

Education

Bachelor’s degree in CS/Engineering/MIS

Tools

DataPlex Knowledge Catalog

Airflow Composer

GitLab/GitHub

Terraform Cloud

App Engine

Job description

Panera Bread is seeking an experienced Enterprise Cloud Data Architect to define, design, and govern a next‑gen data ecosystem on Google Cloud Platform (GCP). You will set the enterprise data reference architecture, governance, and AI readiness with a Data as a Product mindset.

The role involves shaping data strategies, overseeing data ingestion into Data Lake/Medallion Architecture, modeling data across domains, and driving secure, scalable cloud data solutions.