Senior Manager Data Engineering Lead

3 days ago

Washington, Washington, D.C., United States CAVA - Support Center Full time
Job Overview

CAVA is seeking a highly skilled Senior Manager Data Engineering to lead our big data engineering team. As a key member of our technology organization, you will be responsible for designing, developing, and maintaining a robust and scalable big data infrastructure on Databricks that empowers data-driven decision making across the organization.

Key Responsibilities
  • Provide strategic direction and vision for the big data engineering team, aligning it with overall business goals.
  • Oversee the design, development, and implementation of big data pipelines for data ingestion, transformation, and analytics.
  • Lead the selection and implementation of big data technologies and tools (Hadoop, Spark, Kafka, etc.).
  • Ensure the big data infrastructure is secure, scalable, and fault-tolerant.
  • Champion data governance best practices and data quality initiatives.
  • Manage and mentor a team of data engineers, fostering a culture of collaboration and continuous learning.
  • Partner with data scientists, analysts, and business stakeholders to understand their needs and translate them into actionable data solutions.
  • Stay up to date on the latest big data trends and technologies, and identify opportunities for innovation.
Requirements
  • Minimum 8+ years of experience in big data engineering leadership.
  • Proven experience in designing, developing, and deploying big data pipelines and architectures.
  • In-depth knowledge of big data technologies (Hadoop, Spark, Kafka, etc.) and distributed processing frameworks.
  • Strong understanding of data governance, data security, and data quality principles.
  • Excellent communication, collaboration, and leadership skills.
  • Experience managing and motivating a team of technical professionals.
  • A results-oriented mindset with a passion for building high-performing teams.
  • Proven experience working with large scale data assets (1petabyte +)
  • In-depth knowledge of Databricks (Spark, Delta Lake, MLflow, etc.) and its capabilities for big data processing, storage, and machine learning.
What We Offer
  • Competitive salary, plus bonus and long-term incentives*
  • Early Wage Access
  • Unlimited PTO, paid parental leave, plus paid opportunities to give back to the community
  • Health, Dental, Vision, Telemedicine, Pet Insurance plus more
  • 401k enrollment with CAVA contribution
  • Company-paid STD, LTD, Life and AD&D coverage for salaried positions*
  • Free CAVA food
  • Casual work environment
  • The opportunity to be on the ground floor of a rapidly growing brand

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