About the job
At Manna, we’re revolutionizing delivery services by taking them to the skies. Our ambitious mission is to make high-speed delivery in suburban areas not only affordable but also environmentally friendly and safe. We design and manufacture our own aviation-grade drones, delivering food, groceries, coffee, and more directly from local vendors to customers’ doors within minutes.
Our team embodies principles of Impact, Safety, and Authenticity. We believe that the best ideas come from collaborative team players who are passionate about their work. We move quickly, embrace a growth mindset, and are committed to continuous improvement in everything we do.
If you’re eager to create technology that has a meaningful impact on the world—and enjoy a fun work environment while doing it—you’ll fit right in at Manna.
Welcome to Manna — where we deliver the future.
Role Purpose
We are seeking a Lead Data Engineer to evolve our data infrastructure. This role combines hands-on data engineering with the responsibility of managing our core data platform, utilizing Postgres and Snowflake. You will build scalable data pipelines, manage database performance, and enable analytics and AI applications across the organization. Collaborating with engineering, analytics, and leadership, you will help shape data architecture, enhance data quality, and meet our growing data needs.
Key Responsibilities
- Oversee and manage production, development, and reporting Postgres databases.
- Develop and improve the data platform architecture across Postgres and Snowflake.
- Design, implement, and maintain scalable data pipelines from raw files and source systems.
- Optimize data models for analytics and reporting purposes.
- Ensure Snowflake performance and cost efficiency.
- Monitor and enhance Postgres performance (including query tuning, indexing, and scaling).
- Guarantee data platform security, access control, and governance.
- Establish and uphold data engineering standards, best practices, and documentation.
- Introduce monitoring, alerting, and observability across data systems.
- Collaborate with teams to understand and deliver on their data requirements.
- Support AI and advanced data use cases by managing high-quality datasets.
- Act as a key technical authority for data platform decisions and direction.
