Allergan Data Labs is hiring a
Lead Data Engineer in Worldwide

Summary

The job is for a Lead Data Engineer at Allergan Data Labs., a division of AbbVie. The role involves working on their iconic brands like BOTOX® Cosmetic, CoolSculpting®, JUVÉDERM® and more. The employee will report to the Director, Data and Machine Learning and collaborate with cross-functional partners to build data products.

Requirements

• Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative field
• 7+ years of experience as a Data Engineer writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases)
• 2+ years of leading a cross-functional team to deliver data projects, including 1+ year of experience as a reporting manager of a small team
• Strong programming skills in Python and understanding of core computer science principles
• Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks
• Knowledge of relational and dimensional data modeling concepts to build data products
• Experience with data quality checks, data monitoring solutions
• Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools
• Experience with Git, CI/CD pipelines, Docker, Kubernetes
• Experience with architecting solutions on AWS or equivalent public cloud platforms
• Experience with developing data APIs, Microservices and event driven systems to integrate data products
• Strong interpersonal and verbal communication skills
• Leadership experience and the ability to mentor and guide a team

Responsibilities

• Take ownership for achieving objectives and key results for your team, allocate resources, oversee & own technical solutions, communicate schedule, status, and milestones
• Lead and manage a small team of data engineers by setting goals, supervising work, providing guidance, evaluating performance, removing barriers, cultivating career development, and promoting job satisfaction
• Collaborate with cross functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers, Business teams) to build data products
• Develop, optimize, and maintain complex ETL processes for moving and transforming data
• Champion code quality, reusability, scalability, security and help make strategic architecture decisions
• Implement processes and tools to ensure data quality, enforce data governance policies and engineering best practices
• Develop APIs and Microservices to expose and integrate data products with software systems

Preferred Qualifications

• Experience in assessing and implementing new data tools to enhance the data engineering stack
• Knowledge of data mesh concepts
• Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science
• Knowledge of vector databases, knowledge graphs, and other approaches for organizing & storing information

Benefits

• Competitive salary
• Competitive annual bonus targets
• 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution
• RSU grants (Long Term Incentives) for approved roles
• Comprehensive medical, dental, vision and life insurance
• 17 paid holidays per year, including 3 floating holidays
• Annual Paid Time Off (PTO), with separate sick days
• 12 weeks paid Parental Leave
• Caregiver Leave
• Adoption and Surrogacy Assistance Plan
• Flexible workplace accommodations
• Free gym membership for those in our Irvine, CA WeWork office
• We celebrate our wins with opportunities to attend Lakers, Knicks, Anaheim Ducks, Anaheim Angels and NY Rangers games
• Opportunities to attend concerts, festivals and other live entertainment events in recognition of delivering great work
• Attend AWS Re:Invent in person (Las Vegas) or virtually each year
• Tuition reimbursement
• Attend a tech or marketing conference of your choice each year
• A MacBook Pro and accompanying hardware to do great work
• A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more
• Generous compensation range of $125,500 - $238,500 USD