Lead Data Engineer

Support Center - Washington, DC

Full-time - Mid Level

Washington, DC

Management of Companies and Enterprises

About the position

The Lead Data Engineer at CAVA is a pivotal role responsible for designing, building, and supporting the company's future data platform. This position requires a blend of technical expertise and strategic thinking, as the Lead Data Engineer will collaborate with cross-functional teams to bridge business requirements with technical solutions while mentoring junior engineers.

Responsibilities

• 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 to verify data integrity
• Interface with architects, product managers, and product analysts to understand data needs and support the implementation of business rules
• Document the data blending process along with specifications and workflow/data lineage
• Perform continuous integration to ensure that every step of the pipeline is testable and automated
• Perform detailed design based on understanding of the Logical Data Model
• 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
• 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 to improve software development processes
• Ensure security and data protection measures are implemented within software applications
• Manage timeline expectations within and across teams, delivering on responsibilities accordingly
• Earn the trust of Team Members and Managers by consistently embracing CAVA's values
• Actively contribute to the department to complete tasks and meet company goals

Requirements

• 6+ years of experience as a Data Engineer, with at least 3 years in a lead role
• Experience working with large scale data sets, including petabyte scale
• Proven experience designing and implementing data architectures on AWS, Azure, or GCP
• Expertise in managed cloud services for data storage, ingestion, and processing
• Strong proficiency in Python, R, Scala, or Java
• Experience with big data engineering tools such as Databricks, Sage Maker, Google Colab, Jupyter
• Hands-on experience with streaming tools such as Kafka, Flume, Spark Streaming, or Flink
• Ability to work with geographically dispersed teams, both on and offshore
• Willingness to work in a 24x7 model when required

Nice-to-haves

• Experience with notebook environments
• Believer in day one thinking and first principles engineering

Benefits

• 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
• 401k enrollment with CAVA contribution
• Company-paid STD, LTD, Life and AD&D coverage for salaried positions
• Free CAVA food
• Casual work environment
• Opportunity to be on the ground floor of a rapidly growing brand