Senior Data Engineer (Data Platform)

Allergan Aesthetics • Irvine, CA

21h

About The Position

Allergan Aesthetics Tech is a vibrant startup-minded organization with the backing of a large company. As a Senior Data Engineer (Data Platform), your role entails working closely with various teams and leveraging your expertise in data engineering to create and sustain a resilient and high-performing data platform that caters to the organization's data requirements.

Requirements

• Completed BS, MS, or PhD in Computer Science, Engineering, or other related field
• 5+ years in data engineering building production-grade pipelines and platform capabilitiesacross batch and streaming
• Experience with various tools and technologies employed in Data Processing, Storage,Cataloging, Observability, and Governance
• Strong SQL and either Python or Typescript
• Experience in assessing and implementing new data tools and frameworks to enhance thedata engineering stack and developer experience
• In-depth knowledge of data platform development, data warehousing, and data integration
• Knowledge of DevOps principles, Infrastructure as Code (IaC), containers/Kubernetes, Git-based workflows and CI/CD
• Experience with architecting solutions on AWS or equivalent public cloud platforms.
• Experience with developing data APIs, Microservices, and event driven systems
• Experience with data pipeline orchestration tools (Airflow / Temporal)
• Strong interpersonal and verbal communication skills

Nice To Haves

• Building self-service platforms
• Ingestion/CDC/streaming: Kafka/MSK, Fivetran, Debezium
• Experience working with protected HIPAA / PHI data
• Data quality, lineage, and observability practices; incident response and reliability engineering
• Experience building ELT / ETL pipelines and data modeling
• Familiarity with Snowflake, RDS, dbt, Airflow, Temporal, Docker, Kubernetes, Terraform,DataDog, and Data Governance tools

Responsibilities

• Design, develop, optimize, and maintain a Data Platform that enables teams to build complex batch and streaming processes for moving and transforming data across both operational and analytic systems
• Drive platform architecture decisions, lead design reviews, and collaborate with cross-functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers, Business teams) to build data products and enhance the data platform
• Contribute to the development and optimization of our Event Driven Architecture, adding new features, improving performance, and enhancing user experience
• 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 uphold engineering best practices
• Develop APIs and Microservices to expose and integrate data products with software systems

Benefits

• paid time off (vacation, holidays, sick)
• medical/dental/vision insurance
• 401(k)
• short-term incentive programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior