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 somethingbig, 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.

Lead Data Engineer, Big Data Engineering

Lead Data Engineer position is a key engineering role helping us to design, build, and support our future state data platform here at CAVA. In this role you will be expected to spearhead the design, development, and implementation of our next-generation data architecture, while leading and coaching junior engineers. This role also requires a combination of technical expertise & strategic thinking as you will be collaborating closely with cross-functional teams, including data scientists, analysts, and software engineers, to bridge the gap between business requirements and technical solutions.

What You’ll Do

Engineer an innovative, durable, robust, and economically viable data platform enabling business velocity, delightful user experiences, and timely/meaningful analytics
Design and develop data pipelines to manage how data flows between disparate systems.
Develop data quality metrics and perform QC tests (system and visual) to verify data integrity.
Interface with architects, product managers/SMEs and product analysts to understand data needs and support the implementation of the business rules into transformation.
Document the data blending process along with the specifications and workflow/data lineage.
Perform continuous integration to ensure that every step of the pipeline is testable and automated
Perform detailed design (the Physical Data Model and transformations), based on understanding of the Logical Data Model (the business requirements)
Create design documents for data integration or data reporting projects
Analyze data integration problems, provide solutions and recommend corrective actions.
Analyze source system data structures and map them to target data warehouse schemas.
Must have excellent skills in requirements analysis, logical/physical modeling, data transformation and data modeling and technical governance design concepts.
Participate in design and code reviews, documentation of design, and implementation of methodologies to ensure high quality deployments
Stay updated with the latest industry trends and technologies, apply them to improve software development processes.
Ensure security and data protection measures are implemented within software applications. 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 in order 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

6+ years of experience as a Data Engineer, with at least 3 years in a lead role.
Experience and Comfort working with large scale data sets. Petabyte scale, with daily ingress and egress numbers in the 10’s of Terabytes
Proven experience designing and implementing data architectures on AWS, Azure, or GCP.
Expertise in managed cloud services for data storage, ingestion, and processing with the ability to articulate the services used for various stages of the data lifecycle.
Strong proficiency in Python, R, Scala, or Java
Experience with notebook environments and big data engineering tools such as: Databricks, Sage Maker, Google Colab, Jupyter, etc
Hands on experience with streaming tools such as: Kafka, Flume, Spark Streaming, or Flink
Believer in day one thinking and first principles engineering
Ability to work with a geographically disperse teams, both on and offshore
Willingness to work in 24x7 model when required. Expectation is that you support the code and products yourself and your team create
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.
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.

Skills

Databricks