Midi is seeking a Lead Data Engineer to design, implement, and iterate a world-class data infrastructure to power analytics, data science, and ML/AI systems across the organization.
Requirements
- You have a strong technical foundation, and are experienced with the modern data engineering stack (dbt, pySpark, Fivetran, Snowflake, Lakehouse, CDP’s, ETL tools, etc.)
- You possess advanced knowledge of SQL and Python
- You have deep expertise in data pipelines, distributed systems, and analytics infrastructure
- You have hands-on experience with Data Warehousing technologies, Data Lake architecture, and ETL pipelines and tools
- You have a deep understanding of BI tooling infrastructure and semantic layer design (ex. Looker, Tableau, Metabase, Mode)
- You have the experience and interest in leading major architecture initiatives from the ground up
- You are a believer in applying best in class software engineering practices to data systems
Responsibilities
- Define and execute the strategic roadmap for data infrastructure and analytics capabilities across the organization
- Partner closely with Data Science, Operations Analytics, Engineering, and Product on design and implementation of scalable data pipelines, models, and solutions.
- Drive the development of foundational data products and tools to power self-service analytics
- Actively contribute to and influence engineering processes, culture, practices, and systems
- Serve as a technical thought leader across teams on data engineering best practices.
Other
- You are interested in coaching/mentoring junior engineers.
- Level of Experience: 5+ years
- Salary Range: $180K-$230K
