Company Profile :
At CAVA we make it deliciously simple to eat well and feel good every are guided by a Mediterranean heritage that’s beenperfecting how to eat and live for four thousand years.
We prioritizeauthenticity, curiosity and the pursuit of excellence in everything we do. Weare working towards somethingbig, together.
We foster a culture built on five corevalues :
- Generosity First, Always : We lead with kindness. Our best work happens when we actin service of others.
- Constant Curiosity : Weare eager to learn, grow, and explore beyond the obvious.
- Act with Agility : Wewelcome change; it’s the only constant. We embrace, adjust, adapt.
- Passion for Positivity : Wegreet each day with warmth and possibility.
- Collective Ambition : Wehave high aspirations that are achieved when we work together with a sharedpurpose.
Lead Data Engineer, Big Data Engineering
Lead Data Engineer position is a key engineering rolehelping us to design, build, and support our future state data platform here atCAVA.
In this role you will be expectedto spearhead the design, development, and implementation of our next-generationdata architecture, while leading and coaching junior engineers.
This role also requires a combination oftechnical expertise & strategic thinking as you will be collaboratingclosely with cross-functional teams, including data scientists, analysts, andsoftware engineers, to bridge the gap between business requirements andtechnical solutions.
What You’ll Do :
- Engineeran innovative, durable, robust, and economically viable data platform enablingbusiness velocity, delightful user experiences, and timely / meaningful analytics
- Designand develop data pipelines to manage how data flows between disparatesystems.
- Developdata quality metrics and perform QC tests (system and visual) to verify dataintegrity.
- Interfacewith architects, product managers / SMEs and product analysts to understand dataneeds and support the implementation of the business rules intotransformation.
- Documentthe data blending process along with the specifications and workflow / datalineage.
- Performcontinuous integration to ensure that every step of the pipeline is testableand automated
- Performdetailed design (the Physical Data Model and transformations), based onunderstanding of the Logical Data Model (the business requirements)
- Createdesign documents for data integration or data reporting projects
- Analyzedata integration problems, provide solutions and recommend correctiveactions.
- Analyzesource system data structures and map them to target data warehouseschemas.
- Musthave excellent skills in requirements analysis, logical / physical modeling, datatransformation and data modeling and technical governance designconcepts.
- Participatein design and code reviews, documentation of design, and implementation ofmethodologies to ensure high quality deployments
- Stayupdated with the latest industry trends and technologies, apply them to improvesoftware development processes.
- Ensuresecurity and data protection measures are implemented within softwareapplications. Abide by policies and procedures that support the servicemindset
- Managetimeline expectations within and across teams, deliver on our responsibilitiesaccordingly
- Earnthe trust of Team Members and Managers by consistently embracing CAVA’s values
- Showdiscipline in bringing consistent performance, communication, and attitude tothe job every day
- Activelycontribute to your department in order to complete tasks and meet company goals
- Recognizethe emotional stake each Team Member has in personal and organizational successof this business
The Qualifications :
- 6+years of experience as a Data Engineer, with at least 3 years in a lead role.
- Experienceand Comfort working with large scale data sets.Petabyte scale, with daily ingress and egress numbers in the 10’s ofTerabytes
- Provenexperience designing and implementing data architectures on AWS, Azure, orGCP.
- Expertisein managed cloud services for data storage, ingestion, and processing with theability to articulate the services used for various stages of the datalifecycle.
- Strongproficiency in Python, R, Scala, or Java
- Experiencewith notebook environments and big data engineering tools such as : Databricks, Sage Maker, Google Colab, Jupyter, etc
- Handson experience with streaming tools such as : Kafka, Flume, Spark Streaming, or Flink
- Believerin day one thinking and first principles engineering
- Abilityto work with a geographically disperse teams, both on and offshore
- Willingnessto work in 24x7 model when required.Expectation is that you support the code and products yourself and yourteam create
- OccasionalTravel Required
Physical Requirements :
- Abilityto maintain stationary position to be able to operate a computer and otheroffice equipment
- Mustbe able to identify, analyze and assess details
- Forcertain positions, must be able to occasionally move or transport items up to50 pounds
- Abilityto communicate with others and exchange information accurately and effectively
- Constantlypositions self and move about to support ordinary restaurant or food productionsupport or office operations, as applicable
- Abilityto work in a constant state of alertness and in a safe manner
Whatwe offer :
- Competitive salary, plus bonus andlong-term incentives*
- Early Wage Access!*
- Unlimited PTO, paid parental leave, pluspaid opportunities to give back to the community
- Health,Dental, Vision, Telemedicine, Pet Insurance plus more!
- 401kenrollment with CAVA contribution
- Company-paidSTD, LTD, Life and AD&D coverage for salaried positions*
- FreeCAVA food
- Casualwork environment
- The opportunity to be on the ground floorof a rapidly growing brand
- All exempt and nonexemptemployees are eligible for benefits. Benefits are effective the 1stof the month following 30 days of service and you have until the day before theeffective date to enroll.
A new hire can enroll in our benefit program byselecting a link that is emailed directly to the new hire at their personalemail 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 comprehensivelist of all the duties and responsibilities of the position and such duties andresponsibilities may change without notice.