About Lumen Bioscience

Lumen harnesses the power of photosynthesis and Spiruina biology to produce beneficial, high-value biomolecules. With its novel production platform, Lumen is developing innovative products to address long-standing challenges in health and nutrition.

The Lumen team works out of a beautiful lab and office facility in the Fremont neighborhood. At Lumen, you'll be challenged, you'll be inspired, and you'll be proud to be part of an innovative organization making a real impact on improving quality of life globally.

Role and Impact

As Data Engineer & Architect you'll build and maintain system architectures for data processing. You will construct, administer, and improve component technologies, including analytical databases and data pipelines to feed analytics solutions and reports.

The data solutions you establish and maintain will collect data from a variety of sources (e.g. laboratory instruments, sensors, probes, LIMS), and they will ultimately enable the generation of reports and dashboards that provide critical insights to scientists and managers.

As an early technology hire for the company, you'll have the opportunity to work collaboratively on a variety of implementation projects and initiatives. The data environment created in your role will help to kick-start Lumen’s analytics capabilities.

Qualifications

• B.S. degree in Computer Science, or related field, or equivalent work experience
• In-depth knowledge and experience with cloud (e.g. AWS, Google Cloud, Azure) architecture best practices, security, design, implementation, and operational support
• Experience designing data systems/solutions to manage complex data in complex, distributed systems
• In-depth knowledge of databases and best engineering practices with 5+ years of experience in database programming, design, and analysis
• Demonstrated experience building analytical, relational databases and developing advanced SQL queries
• Proficiency in shell scripting and one or more scripting languages (including Python)
• Demonstrated experience with ETL integration development
• Experience processing large, multi-dimensional datasets from multiple sources
• Experience in development of professional database reporting with business intelligence tools (e.g. Tableau)