Enterprise Cloud Data Architect

Panera LLC; St. Louis (MO); Hybrid; USD 189,000 - 227,000; Full time

Benefits offered by this job

Hybrid work arrangement

Competitive pay

Job summary

Panera LLC in St. Louis, MO / Newton, MA (hybrid) seeks an Enterprise Cloud Data Architect to define and govern the enterprise data ecosystem on Google Cloud Platform.

You will champion a Data as a Product mindset and craft the reference architecture, governance frameworks, and AI foundations for scalable data assets. The role focuses on enterprise data modeling, data vault/medallion architectures, data lineage, and semantic layers to enable AI readiness and data democratization across the

Qualifications

• 10+ years of enterprise data architecture experience.
• Experience with GCP core services and data governance.

Responsibilities

• Shape the enterprise Data Strategy and Architecture.
• Lead design and apply patterns across the data landscape.
• Define data models and metadata standards; ensure AI readiness.
• Oversee data ingestion into Enterprise DataLake and Medallion Architecture.
• Implement data governance and DLP in GCP BigQuery and related tools.
• Collaborate with security, compliance, and DevOps teams.

Skills

Data architecture vision

GCP BigQuery

Python

Spark / PySpark

Data modeling

Data governance

AI readiness

Cloud security

Domain-Driven Design

Mentoring/leadership

Education

Bachelor's degree in CS/Engineering/MIS

Tools

BigQuery

DataPlex

Cloud Composer

Terraform

GitHub/GitLab

Airflow

Job description

Enterprise Cloud Data Architect Position Summary

We are seeking a strategic and forward-thinking Enterprise Cloud Data Architect to define, design, and govern our next-generation enterprise data ecosystem. In this role, you will be the chief visionary for our cloud data strategy, setting the enterprise data reference architecture, governance frameworks, and advanced AI architecture on Google Cloud Platform (GCP). You will champion a "Data as a Product" mindset, ensuring our data assets are secure, scalable, high-quality, & aligned with business objectives.

Location: St. Louis, MO or Newton, MA (hybrid)

Duties & Responsibilities

• Shape the enterprise Data Strategy and define the Enterprise Data Reference Architecture
• lead technical design, own and manage reusable design patterns, and apply advanced systems thinking across the data landscape
• Spearhead the development of data management best practices and frameworks; translating complex enterprise needs and innovation ideas into scalable Enterprise Data Solution Architectures.
• Serve as the expert on data ingestion into Enterprise DataLake and Medallion Architecture.
• Define and maintain the enterprise Conceptual, Logical, and Physical Data Models, ensuring alignment across disparate business units; establish universal taxonomy, canonical data definitions, metadata standards, and a semantic layer to eliminate data silos and support AI readiness.
• Architect flexible storage and modeling structures optimized for Cloud data warehouses (i.e. BigQuery), transactional stores, and AI readiness (vector & semantic stores); apply Domain-Driven Design (DDD) and Context layer to isolate domain ownership in modern distributed architectures.
• Apply normalization/denormalization techniques, Dimensional Modeling (Star/Snowflake schemas), Data Vault 2.0, and Medallion Architectures; integrate models with data lineage tools, active data catalogs, and data quality checks so changes are tracked and impact analysis is automated.
• Own enterprise Data Governance policies and champion a strict Data Quality steward mindset; drive data protection frameworks, including DLP implementation in GCP BigQuery.
• Own data discovery, classification, and cataloging strategies for labelling enterprise data (public, internal, confidential, restricted) so cloud systems apply the correct security controls, access limits, and retention rules; advocate and build an organizational "Data as a Product" mindset.
• Architect modern AI foundations, specializing in Google Gemini Enterprise Agent Platform and agentic AI design and development using Agent Studio, Model Garden, Agent Development Kit (ADK), and MCP Servers for integration; support enterprise data readiness for Agentic AI and Generative AI use cases and data democratization; apply a deep background scaling machine learning, Generative AI, and Vertex AI workloads in enterprise environments.
• Partner with Enterprise Security, Compliance, and DevOps teams to establish IAM, VPC networking, firewall standards, and integration patterns (leveraging ServiceNow workflows); Mentor engineering teams on architectural standards, design patterns and frameworks; Implement proof-of-concept (PoC) and pilot ideas into working prototypes and enterprise-grade design frameworks for repeatable use.

Qualification/Education

Bachelor's degree in computer science, Engineering, MIS, or related field (Master's preferred).

Experience: 10+ years of relevant experience in enterprise data architecture, data modeling, and cloud strategy in large-scale data environments.

Comprehensive understanding of GCP core services (BigQuery, Cloud Storage, Cloud SQL, Datastore, Pub/Sub, DataProc, Managed Apache Spark), Cloud infrastructure, networking, security governance (IAM & Admin role, Cloud Security, VPC Networks, Firewalls), Cloud Billing & Resource Usage, Observability and Logging, Workload management and Scaling.

Experience managing Cloud Functions, Cloud Run, Compute Engine, and App Engine; working knowledge of DataPlex (Knowledge Catalog).

Experience with CI/CD and Terraform Cloud deployments, GitLab/GitHub, Code Versioning, Managed Airflow Composer, other database systems (Oracle, Postgres), and Kafka/Pub/Sub event-driven architecture.

Programming proficiency in Python, Spark, PySpark, and Pandas for data processing.

Physical Requirements

Regularly required to sit, stand, talk, hear, and use hands and fingers to operate keyboards and devices.

Direct Reports

No (individual-contributor architecture role; mentors engineering and project teams).

Equal Opportunity Employer

Disabled/Veterans Competitive Pay $188,838 - $226,606 annually

The actual pay offered will be determined by multiple factors, including but not limited to the candidate’s relevant experience, job-related knowledge, skills, and geographical location. Individual compensation decisions are dependent upon the facts and circumstances of each position and candidate.

Saint Louis Support Center

With more than 2,000 Panera LLC and independent franchise bakery-cafes in the Panera Bread family, and more locations opening all the time, it's no wonder our company has been an excellent source of career and personal growth opportunities for more than 25 years. In neighborhoods across the U.S. and Canada, customers enjoy flavorful, handcrafted meals centered around freshly baked artisan bread. To us, that means serving food like we serve our own families – free of any of the items on our 'No No' List. Along the way, we also like to give back to our community. We enjoy working together, shoulder to shoulder with our customers, to confront a serious problem plaguing communities across this country – Hunger. Through our Panera Cares community cafes, we offer a dignified dining experience in an uplifting environment. In addition, we support our communities through day-end donations at our bakery-cafe locations and partner with local non-profit organizations. It's this warmth that you'll find when you join Panera Bread. From our competitive compensation and benefits packages to our unique cultural values, we're confident you'll find us a rewarding and fun place to work.