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Senior Manager of Data Engineering

2 months ago

Irving, Texas, United States 7-Eleven Full time
About This Opportunity

We are seeking a highly skilled Senior Manager of Data Engineering to join our Enterprise Data Platform Team at 7-Eleven. This role will report directly to the Senior Director of Data, AI/ML, and R&D.

As a Senior Manager of Data Engineering, you will lead a team of data engineers working on our core data infrastructure and data platform initiatives. This role requires a highly skilled and hands-on data professional with expertise in Databricks, Azure, AWS, Kafka, and both SQL and noSQL databases.

Key Responsibilities
  • Leadership Responsibilities
    • Lead and mentor a team of data engineers to drive technical excellence and innovation.
    • Recruit, retain, and grow talent with a focus on technical expertise and leadership skills.
    • Oversee the design, implementation, and maintenance of scalable data pipelines in a multi-cloud environment.
    • Own the strategy and roadmap for Data Engineering in the context of the company's Data and AI strategy.
    • Collaborate with counterparts in Architecture, Machine Learning, and Data Governance to deliver data platform initiatives.
    • Drive a high bar for technical excellence across the engineering team.
    • Communicate with non-technical business stakeholders to ensure understanding and alignment on key data initiatives for the business.
    • Manage project timelines, resources, and budgets to ensure timely delivery of data engineering projects.
  • Technical Responsibilities
    • Oversee the design, implementation, and maintenance of scalable data pipelines in a hybrid cloud environment.
    • Manage the integration of various data sources, including structured, semi-structured, and unstructured data.
    • Ensure data engineering standards align with industry best practices for data governance, data quality, and data security.
    • Implement data processing frameworks, including batch and real-time processing, with a focus on retail-specific data such as sales, inventory, and customer behavior.
    • Collaborate with business stakeholders to understand data needs specific to retail operations and translate them into actionable data engineering solutions.
    • Monitor and optimize the performance of data pipelines to meet SLAs for data availability and quality.
    • Evaluate and recommend new data technologies and tools to improve data engineering processes and outcomes.
Requirements
  • 8+ years of experience working in an engineering role, with a focus on large-scale data environments.
  • 5+ years of experience in a leadership or management role, guiding teams of engineers.
  • 2+ years of experience as a manager of managers.
  • Strong experience with Azure Cloud, AWS, and on-premises infrastructures.
  • Expertise in designing and implementing scalable data pipelines using tools such as Apache Spark, Databricks, Kafka, and others.
  • Solid understanding of data warehousing, data lakes, and modern data architectures.
  • Experience with data processing frameworks, both batch and real-time.
  • Proficiency in programming languages commonly used in data engineering, such as Python, Scala, or Java.
  • Strong understanding of database technologies, including SQL and NoSQL databases.
  • Experience with CI/CD pipelines and DevOps practices for data engineering.
  • Excellent problem-solving and analytical skills.
  • Strong communication skills to articulate complex data requirements to both technical and non-technical stakeholders.
  • Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience.