Company Profile:
At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity and the pursuit of excellence in everything we do. We are working towards something big, together.

We foster a culture built on five core values: 

• Generosity First, Always: We lead with kindness. Our best work happens when we act in service of others.
• Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious.
• Act with Agility: We welcome change; it’s the only constant. We embrace, adjust, adapt. 
• Passion for Positivity: We greet each day with warmth and possibility.
• Collective Ambition: We have high aspirations that are achieved when we work together with a shared purpose.

Senior Manager, Data Engineering

As the Sr Manager of Data Engineering at CAVA, you will play a pivotal role in shaping the future of our big data landscape, specifically using Databricks as a core platform. You will be responsible for leading a team of talented data engineers in designing, developing, and maintaining a robust and scalable big data infrastructure on Databricks that empowers data-driven decision making across the organization.  You will be tasked with leading the centralization of our data assets and supporting the engineering of data product all to enable future use case for data science and engineering.

What You’ll Do:

• 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.
• Lead teams to accomplish priorities and initiatives with the impact for the guest in mind
• Effectively communicate goals, priorities, and action items to direct reports; actively give feedback on progress updates
• Conduct impactful and meaningful DE&I conversations within team and organization
• Create opportunities for Team Members to grow in their roles and progress into higher roles in the organization
• Execute effective decision-making skills to led team to succeed
• Oversee innovative solutions proposed by direct reports
• Maintain emotional stability in stressful situations; lead by example for how our team should handle adversity
• Abide by policies and procedures that support the service mindset
• Manage timeline expectations within and across teams, deliver on our responsibilities accordingly
• Earn the trust of Team Members and Managers by consistently embracing CAVA’s values
• Show discipline in bringing consistent performance, communication, and attitude to the job every day
• Actively contribute to your department to complete tasks and meet company goals
• Recognize the emotional stake each Team Member has in personal and organizational success of this business

The Qualifications:

• 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.
• Experience managing and motivating a team of technical professionals with a focus on Databricks expertise.
• A results-oriented mindset with a passion for building high-performing teams and maximizing the value of Databricks.
• Occasional Travel Required

Physical Requirements:

•  Ability to maintain stationary position to be able to operate a computer and other office equipment
• Must be able to identify, analyze and assess details
• For certain positions, must be able to occasionally move or transport items up to 50 pounds
• Ability to communicate with others and exchange information accurately and effectively
• Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable
• Ability to work in a constant state of alertness and in a safe manner  

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
• All exempt and nonexempt employees are eligible for benefits. Benefits are effective the 1st of the month following 30 days of service and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hired.
• Please note that visa sponsorship is not available.
• The compensation range posted includes total cash.

*Indicates qualifying eligible positions only

CAVA – Joining “A culture, not a concept”

This job description is not intended to be a comprehensive list of all the duties and responsibilities of the position and such duties and responsibilities may change without notice.  As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law.

*Indicates qualifying eligible positions only

Company Profile:
At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity and the pursuit of excellence in everything we do. We are working towards something big, together.

We foster a culture built on five core values: 

• Generosity First, Always: We lead with kindness. Our best work happens when we act in service of others.
• Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious.
• Act with Agility: We welcome change; it’s the only constant. We embrace, adjust, adapt. 
• Passion for Positivity: We greet each day with warmth and possibility.
• Collective Ambition: We have high aspirations that are achieved when we work together with a shared purpose.

Senior Manager, Data Engineering

As the Sr Manager of Data Engineering at CAVA, you will play a pivotal role in shaping the future of our big data landscape, specifically using Databricks as a core platform. You will be responsible for leading a team of talented data engineers in designing, developing, and maintaining a robust and scalable big data infrastructure on Databricks that empowers data-driven decision making across the organization.  You will be tasked with leading the centralization of our data assets and supporting the engineering of data product all to enable future use case for data science and engineering.

What You’ll Do:

• 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.
• Lead teams to accomplish priorities and initiatives with the impact for the guest in mind
• Effectively communicate goals, priorities, and action items to direct reports; actively give feedback on progress updates
• Conduct impactful and meaningful DE&I conversations within team and organization
• Create opportunities for Team Members to grow in their roles and progress into higher roles in the organization
• Execute effective decision-making skills to led team to succeed
• Oversee innovative solutions proposed by direct reports
• Maintain emotional stability in stressful situations; lead by example for how our team should handle adversity
• Abide by policies and procedures that support the service mindset
• Manage timeline expectations within and across teams, deliver on our responsibilities accordingly
• Earn the trust of Team Members and Managers by consistently embracing CAVA’s values
• Show discipline in bringing consistent performance, communication, and attitude to the job every day
• Actively contribute to your department to complete tasks and meet company goals
• Recognize the emotional stake each Team Member has in personal and organizational success of this business

The Qualifications:

• 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.
• Experience managing and motivating a team of technical professionals with a focus on Databricks expertise.
• A results-oriented mindset with a passion for building high-performing teams and maximizing the value of Databricks.
• Occasional Travel Required

Physical Requirements:

•  Ability to maintain stationary position to be able to operate a computer and other office equipment
• Must be able to identify, analyze and assess details
• For certain positions, must be able to occasionally move or transport items up to 50 pounds
• Ability to communicate with others and exchange information accurately and effectively
• Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable
• Ability to work in a constant state of alertness and in a safe manner  

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
• All exempt and nonexempt employees are eligible for benefits. Benefits are effective the 1st of the month following 30 days of service and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hired.
• Please note that visa sponsorship is not available.
• The compensation range posted includes total cash.

*Indicates qualifying eligible positions only

CAVA – Joining “A culture, not a concept”

This job description is not intended to be a comprehensive list of all the duties and responsibilities of the position and such duties and responsibilities may change without notice.  As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law.

*Indicates qualifying eligible positions only