Senior Manager, Data Services

Panda Restaurant Group; Rosemead (CA); On-site; USD 112,500 - 158,000; Full time

Benefits offered by this job

Hybrid Work schedule

401K with company match

Full medical, dental, and vision insurance

Discounts at Panda restaurants

Job summary

A leading restaurant group seeks a Manager, Data Engineering to oversee a team responsible for data flow processes within the organization. The ideal candidate will have a background in Azure technologies and experience in leading data engineering teams, ensuring data quality and reliability. This full-time position based in California offers a competitive salary range of $112,500 to $158,000 and various beneficial perks.

Qualifications

• Minimum three years leading a data engineering team.
• Minimum five years of experience in BI technologies and developing ETL workflow.
• Proven experience in data engineering with a focus on Azure technologies.

Responsibilities

• Lead data engineering team and is responsible for hiring and training.
• Design, develop, and implement scalable data solutions.
• Collaborate with cross-functional teams to integrate data.

Skills

Leadership

Azure Synapse

ETL Development

Data Integration

Performance Optimization

Education

Bachelor’s degree in computer science or information systems

Tools

Azure Data Factory

Job description

Join to apply for the Manager, Data Engineering role at Panda Restaurant Group

Join to apply for the Manager, Data Engineering role at Panda Restaurant Group

Panda Restaurant Group provided pay range

This range is provided by Panda Restaurant Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$112,500.00/yr - $158,000.00/yr

Summary Of Job Description

The Manager, Data Engineering is responsible for leading the development and operations of data engineering team to deliver end-to-end data flow processes across applications, systems, and various data sources and targets in the company’s data ecosystem. This position develops and maintains ETL processes to ensure the timely and accurate movement of data across various systems while optimizing for performance and reliability. The Manager, Data Engineering collaborates with cross- functional teams to integrate data from diverse sources, ensuring data consistency, quality, and reliability.

Job Responsibilities

• Lead data engineering team and is responsible for hire, train, mentor, and grow data engineering team consisting of PRG employees and partner service providers.
• Architect and Implement Data solutions. Design, develop, and implement scalable and efficient data solutions using Azure Synapse, Azure Data Factory, and other relevant technologies to meet business requirement.
• ETL Development: Develop and maintain ETL processes to ensure the timely and accurate movement of data across various systems while optimizing for performance and reliability.
• Performance Optimization: Identify and implement performance improvements for existing data pipelines, troubleshoots and resolves issues, and proactively monitors data solutions to ensure optimal performance.
• Data Integration: Collaborates with cross functional teams to integrate data from diverse sources, ensuring data consistency, quality, and reliability.
• Security and Compliance: Implements and enforces data security and compliance standards, working closely with the security team to ensure data.
• Collaborate with data servervice leadership to lead and manage data services team operations such as budgeting, technology procurements/renewals, data quality monitoring.
• Collaborate with other team members and leadership to research new technology in data and analytics space and champion adoption as needed.
  
  

How We Reward You

• Hybrid Work schedule
• 401K with company match
• Yearly bonus opportunity*
• Full medical, dental, and vision insurance *
• On-site fitness center, biometric screen, and flu shot clinic
• Discounts at Panda restaurants, theme parks, and gym memberships
• Paid time off starting at 15 days with 7 federal holidays*
• Continuous education assistance and scholarships*
• Income protection including Disability, Life and AD&D insurance*
• Bereavement leave*
• Benefits available for eligible permanent full time associates
  
  

Your Background And Experience

• Bachelor’s degree in computer science or information systems.
• Minimum three years leading a data engineering team.
• Minimum five years of experience in BI technologies and developing ETL workflow, preferably in a retail/ hospitality environment.
• Proven experience in data engineering with a focus on Azure Synapse and Azure Data Factory and experience with one or more of the mainstream data warehouse technologies and ETL technologies.
• Successful completion of initial and periodically required trainings.
• Obtaining a valid Food Handler's Card within 30 days of employment is a requirement of this position.
  
  

Pay Range: M2: $112,500 - $158,000 / Annual

• Within the range, individual pay is determined using various factors, including work location and experience.
  
  

Panda Strong Since 1983

Founded in Glendale, California, we are now the largest family-owned American Chinese Restaurant concept in America. With close to 2,300 locations globally, we continue our mission of delivering exceptional Asian dining experiences by building an organization where people are inspired to better their lives. Whether it’s impacting our team or the communities we work in, we’re proud to be an organization that embraces family values.

You’re Wanted Here

We value diversity in all forms and know the strength it brings. Workplace equality allows for creative ideas to bloom, diverse points of view to be heard, and improves overall happiness. We like the sound of that.

Panda Restaurant Group, Inc. is an Equal Opportunity Employer and is committed to providing equal opportunity, and does not discriminate on the basis of any characteristic protected by law, including but not limited to sex/gender (including pregnancy, childbirth, lactation and related conditions), gender expression, race, color, religion, national origin, sexual orientation, gender identity, disability, age, ancestry, medical condition, genetic information, marital status, and veteran status. Additionally, Panda Restaurant Group, Inc. complies with all federal, state, and local laws regarding requests for workplace accommodations. If there is a reason you believe you require an accommodation, please reach out to our accommodation team vie email at [e-mail].

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Restaurants

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