Lead Data Engineer

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.

Key Responsibilities:
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

Required Experience & Skills

• 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

Preferred Experience & Skills:

• 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, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, SageMaker, Datadog, PagerDuty, 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 participate in our long-term incentive programs​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html