Data Engineering Architect / Lead Data Engineer

TUPPL Technology Inc - Los Angeles, CA

Full-time - Senior

Los Angeles, CA

About the position

The Data Engineering Architect is responsible for designing and implementing scalable data solutions within the organization. This role requires deep expertise in cloud data warehousing, ETL/ELT processes, data modeling, and business intelligence, with a focus on leveraging modern data tools to enhance data architecture and governance.

Responsibilities

• Design and architect end-to-end data solutions leveraging AWS Redshift, Apache Airflow, dbt, and other modern data tools
• Develop data models and implement data pipelines to ingest, transform, and load data from various sources into our Redshift data warehouse
• Create and maintain Apache Airflow DAGs to orchestrate complex data workflows and ETL processes
• Implement data transformations and modeling using dbt to ensure data quality and consistency
• Design and optimize Redshift clusters for performance, scalability, and cost-efficiency
• Collaborate with data analysts and scientists to expose data through Tableau dashboards and reports
• Establish data governance practices and ensure data security/compliance
• Mentor junior data engineers and promote best practices across the data team
• Evaluate new data technologies and make recommendations to improve our data architecture

Requirements

• 7+ years of experience in data engineering, with at least 3 years in an architect role
• Deep expertise with AWS Redshift, including data modeling, query optimization, and cluster management
• Strong experience with Apache Airflow for workflow orchestration and scheduling
• Proficiency with dbt for data transformation and modeling
• Experience creating dashboards and reports in Tableau
• Excellent SQL skills and experience with Python
• Knowledge of data warehousing concepts and dimensional modeling
• Strong communication skills and ability to work cross-functionally
• Bachelor's or Master's degree in Computer Science, Engineering, or related field