Data Engineering Manager, GMT Global Operations Engineering and Support
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Monthly Salary:
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Whole Foods Market is seeking an Data Engineering Manager to lead the ownership and technical evolution of a mission-critical enterprise analytics and operational platform that powers WFMs core business operations across Finance Merchandising Pricing Supply Chain and Marketing.
As the Data Engineering Manager for Enterprise Data Platform you will lead an 8-person engineering team responsible for platform operations system reliability and continuous improvement of this complex ERP system that serves 1600 active users across 43 business-critical applications. Youll own end-to-end platform healthfrom 24/7 incident response and production support to architectural evolution and strategic modernization initiatives.
This is a high-visibility high-impact role where youll be accountable for systems that power month-end financial close real-time pricing decisions promotional planning and executive KPIs. Youll work directly with senior leadership across Finance Merchandising Pricing and Supply Chain balancing operational excellence with strategic platform evolution. Success in this role means maintaining zero disruption to business operations while driving technical improvements security compliance and alignment with Amazons technology standards.
Youll serve as the technical authority for a platform processing millions of rows of data daily through complex ETL pipelines managing a diverse technology stack (AWS framework Redshift PostgreSQL BI reporting) and ensuring business continuity for WFMs most critical operational systems. This role requires both deep technical expertise and strong leadershipyoull dive deep into production incidents at 2 AM while also presenting quarterly roadmaps to VP-level stakeholders.
Key job responsibilities
Platform Operations & Reliability
Own 24/7 operational health of an enterprise data platform serving 1600 users across 43 business-critical applications (Finance Merchandising Pricing Supply Chain Marketing)
Manage production incident response maintain platform SLAs (99.9% uptime) and ensure zero disruption to month-end financial close pricing operations and executive reporting
Drive performance optimization across data pipelines database queries and report generation; implement monitoring alerting and automation improvements
Technical Leadership
Provide architecture oversight for complex technology stack: AWS services (Redshift RDS/PostgreSQL S3 Glue Lambda) .NET framework ETL pipelines BI reporting
Lead resolution of systemic technical issues infrastructure modernization security compliance (GDPR/CCPA) and alignment with Amazon standards
Team & Stakeholder Management
Lead mentor and develop 8-person Data Engineering team in Bangalore; hire specialized talent in databases ETL and BI reporting
Serve as primary technical interface with VP/Director-level stakeholders across WFM business domains
Coordinate cross-site collaboration between Bangalore and Austin teams for 24/7 coverage
Present quarterly roadmaps operational metrics and strategic recommendations to GMT leadership
Application Support
Support diverse applications including pricing tools promotional planning financial reporting category analytics and supply chain systems
Manage critical workflows: financial close pricing updates promotional campaigns WBR KPI generation
- 2 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
- 2 years of relational database technology (such as Redshift Oracle MySQL or MS SQL) experience
- 2 years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5 years of data engineering experience
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with AWS Tools and Technologies (Redshift S3 EC2)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
As the Data Engineering Manager for Enterprise Data Platform you will lead an 8-person engineering team responsible for platform operations system reliability and continuous improvement of this complex ERP system that serves 1600 active users across 43 business-critical applications. Youll own end-to-end platform healthfrom 24/7 incident response and production support to architectural evolution and strategic modernization initiatives.
This is a high-visibility high-impact role where youll be accountable for systems that power month-end financial close real-time pricing decisions promotional planning and executive KPIs. Youll work directly with senior leadership across Finance Merchandising Pricing and Supply Chain balancing operational excellence with strategic platform evolution. Success in this role means maintaining zero disruption to business operations while driving technical improvements security compliance and alignment with Amazons technology standards.
Youll serve as the technical authority for a platform processing millions of rows of data daily through complex ETL pipelines managing a diverse technology stack (AWS framework Redshift PostgreSQL BI reporting) and ensuring business continuity for WFMs most critical operational systems. This role requires both deep technical expertise and strong leadershipyoull dive deep into production incidents at 2 AM while also presenting quarterly roadmaps to VP-level stakeholders.
Key job responsibilities
Platform Operations & Reliability
Own 24/7 operational health of an enterprise data platform serving 1600 users across 43 business-critical applications (Finance Merchandising Pricing Supply Chain Marketing)
Manage production incident response maintain platform SLAs (99.9% uptime) and ensure zero disruption to month-end financial close pricing operations and executive reporting
Drive performance optimization across data pipelines database queries and report generation; implement monitoring alerting and automation improvements
Technical Leadership
Provide architecture oversight for complex technology stack: AWS services (Redshift RDS/PostgreSQL S3 Glue Lambda) .NET framework ETL pipelines BI reporting
Lead resolution of systemic technical issues infrastructure modernization security compliance (GDPR/CCPA) and alignment with Amazon standards
Team & Stakeholder Management
Lead mentor and develop 8-person Data Engineering team in Bangalore; hire specialized talent in databases ETL and BI reporting
Serve as primary technical interface with VP/Director-level stakeholders across WFM business domains
Coordinate cross-site collaboration between Bangalore and Austin teams for 24/7 coverage
Present quarterly roadmaps operational metrics and strategic recommendations to GMT leadership
Application Support
Support diverse applications including pricing tools promotional planning financial reporting category analytics and supply chain systems
Manage critical workflows: financial close pricing updates promotional campaigns WBR KPI generation
- 2 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
- 2 years of relational database technology (such as Redshift Oracle MySQL or MS SQL) experience
- 2 years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5 years of data engineering experience
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with AWS Tools and Technologies (Redshift S3 EC2)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
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