Lead Data Engineer - Data Product Engineering

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Allergan Data Labs

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Allergan Data Labs is on a mission to transform the medical aesthetics business at Allergan Aesthetics, an AbbVie company (NYSE: ABBV), one of the largest pharmaceutical companies in the world$1. .$1

201 - 500

Description

• As the Lead Data Engineer, you will report to the Director, Data and Machine Learning. • Collaborating with cross functional partners and applying your data engineering skills to deliver data-driven solutions. • You will take ownership for achieving objectives and key results for your team. • Lead and manage a small team of data engineers by setting goals and supervising work. • Collaborate with cross functional partners 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.

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.

Benefits

• Competitive salary. • Competitive annual bonus targets. • 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). • 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. • Attend AWS Re:Invent in person (Las Vegas) or virtually each year for approved roles. • Tuition reimbursement. • 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 discounts on SkinMedica skin care products.