Salary
💰 $610,000 - $1,870,000 per year
Tech Stack
AWSAzureCloudGoogle Cloud PlatformHadoopKafkaSpark
About the role
- Develop and execute a vision for Data Engineering & Products department
- Drive innovation and best practices in data management
- Lead a team of data, analytics, and visualization engineers
- Establish relationships across product, merchandising, data science, engineering
- Mentor and grow team members
- Navigate business risks into opportunities for growth
Requirements
- Seasoned leader in the Member domain
- Expertise in consumer-scale distributed data processing
- Background in big data technologies (e.g., Hadoop, Spark, Kafka)
- Experience with cloud platforms (e.g., AWS, Azure, GCP)
- Proven leadership in developing high-performing teams
- Ability to innovate in data management and architecture
- Excellent analytical and problem-solving skills
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- 35 days annually for paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data managementdata processingbig data technologiesHadoopSparkKafkacloud platformsAWSAzureGCP
Soft skills
leadershipmentoringanalytical skillsproblem-solvinginnovationteam developmentrelationship buildingcommunication