Lead Data Engineer

Skills

Data EngineeringAnalytical SkillsData AnalyticsData OperationsData Pipelines

Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

5+ years of experience in data engineering with a strong focus on data operations
Multiple years leading teams providing guidance and effectively executing deliverables
Expertise in SQL Python and data warehousing technologies (e.g. Snowflake Redshift)
Expertise as a lead on creating defining and driving the data engineering solutions for operations
Strong understanding of cloud platforms (AWS GCP Azure)
Experience with data pipelines and ETL/ELT processes – Boomi Experience is a plus
Experience with managing data workflows at scale – Apache Airflow is a plus
Excellent problem-solving and analytical skills
Effectively be able to scale data solutions
Strong communication and interpersonal skills

Day to day

Serve as the leader and provide oversight of a team of contractors providing guidance mentorship and performance management
Manage and optimize data operations data pipelines ensuring data integrity accuracy and timely delivery
Monitor and maintain data infrastructure including databases data warehouses and cloud platforms
Troubleshoot data-related issues and implement solutions that triage immediate short term fixes and long term solutions that to prevent recurrence
Identify opportunities to improve data operations efficiency and effectiveness allowing stakeholders and business to maximize the information
Work closely with data analysts data engineers and business stakeholders to meet their data needs and communicate data impacts in a timely and effective manner
Stay current as well as seek new data solutions tools platforms technologies and evaluate effectiveness
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 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