Lead Data Engineer

Job Description

At Allergan Aesthetics, an Abb Vie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit  Follow Allergan Aesthetics on Linked In.

As the Lead Data Engineer, you will report to the Engineer Manager (Data Services) and continuously collaborate closely with key stakeholders across the business to solve critical technical challenges.

• Take ownership for achieving objectives and key results for your team, oversee & own technical solutions, communicate schedule, status, and milestones
• Collaborate with cross functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers, and Business teams) to build data products
• Communicate effectively with both technical and non‑technical stakeholders. Translate technical concepts into clear, accessible terms.
• Develop, optimize, and maintain complex ETL processes for data movement and transformation
• Review code and provide technical guidance to ensure adherence to high-quality standards and best practices in data engineering
• Develop APIs and microservices to expose and integrate data products with software systems
• Implement monitoring, logging, and alerting systems to proactively identify and resolve issues
• Ensure data quality, security, and compliance with relevant regulations and standards
• Stay current with industry trends, emerging technologies, and best practices in data engineering. Foster a culture of continuous learning and skill development within the team

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or a related quantitative field
• 7+ years of experience as a Data Engineer or Software Engineer developing and maintaining data pipelines, infrastructure and architecture
• Strong programming skills in Python with a solid understanding of core computer science principles
• Knowledge of relational and dimensional data modeling for building data products.
• Experience with data quality checks and data monitoring solutions.
• Experience orchestrating complex workflows and data pipelines using Airflow or similar tools
• Proficiency with Git, CI/CD pipelines, Docker, and Kubernetes
• Experience architecting solutions on AWS or equivalent public cloud platforms
• Experience developing data APIs, microservices, and event‑driven systems to integrate data products
• Strong interpersonal and verbal communication skills
• Proven leadership experience with the ability to mentor and guide a team

• Familiarity with data mesh concepts.
• Domain knowledge in recommender systems, fraud detection, personalization, and marketing science.
• Understanding of vector databases, knowledge graphs, and other advanced data organization techniques.
• Hands‑on experience with tools such as Snowflake, Postgres, Dynamo
  
  DB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, Sage Maker, Datadog, Pager Duty, data observability tools, and data governance tools.

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law. The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range.

This range may be modified in the future.

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical / dental / vision insurance and 401(k) to eligible employees.

This job is eligible to participate in our short‑term incentive programs.

This job is eligible to…