Lead Cloud Data Engineer - GCP Data Platforms

Panera; United States; On-site; USD 170,000 - 230,000; Full time

Job summary

Panera Bread is seeking a hands-on Lead Cloud Data Engineer to guide the design, development, delivery, and operational excellence of enterprise data platforms on Google Cloud Platform (GCP). This role bridges enterprise architecture with solution delivery, providing hands-on support and technical leadership across ingestion, streaming, and orchestration.

The ideal candidate drives engineering best practices, code quality, and cost efficiency while mentoring a team of data engineers and

Qualifications

• Experience designing large-scale data pipelines on cloud platforms.
• Proven leadership of data engineering teams.
• Hands-on development with data ingestion, streaming, orchestration.
• Strong knowledge of data governance, security, and regulatory compliance.
• Ability to translate architecture into production-grade solutions.

Responsibilities

• Design, develop, test and deploy large scale enterprise data pipelines in Google Cloud data platform.
• Lead, mentor, and develop a team of data engineers, fostering technical excellence and collaboration.
• Drive batch, real-time, and streaming data pipelines aligned with architecture standards and business objectives.
• Translate data architecture patterns into secure, scalable, production-ready solutions.
• Establish engineering best practices, CI/CD, review processes, and deployment governance.
• Oversee data governance, quality, security, and privacy-by-design across the platform.
• Stay ahead of emerging technologies to improve platform efficiency and value.
• Collaborate with architects, product owners, and stakeholders to align data solutions with goals.

Skills

Team leadership

Data engineering

Cloud architecture

Problem solving

Security & privacy by design

Tools

GCP

BigQuery

Dataflow

Airflow

CI/CD

Terraform

Job description

Panera Bread is seeking a hands-on Lead Cloud Data Engineer to guide the design, development, delivery, and operational excellence of enterprise data platforms on Google Cloud Platform (GCP). This role bridges enterprise architecture with solution delivery, providing hands-on support and technical leadership across ingestion, streaming, and orchestration.

The ideal candidate drives engineering best practices, code quality, and cost efficiency while mentoring a team of data engineers and