Job Description:
Lead the design and architecture of cloud-based data solutions, ensuring scalability, reliability, and performance.
Design and build data pipelines for field data collection, analysis, and inference using industry production-grade technologies and tools.
Design and build customer cloud / on-premise data solutions for storage, lookup, and processing flows.
Study and incorporate standards for data governance, security, and compliance.
Provide online and real-time monitoring and analysis of data systems health, accuracy, and costs.
Plan and execute integrations with our edge computing solutions and AI models for both research and production flows.
Job Qualifications:
3+ years experience in an architect position or similar
10+ years of hands-on programming experience in high-level languages including python.
10+ years experience in designing, building or administrating large scale software systems
Experience with AWS cloud, Airflow, Spark, Sage Maker, Spark, MongoDB, SQL
Excellent leadership, communication, and collaboration skills.
Expert in designing and implementing highly resilient big data applications
Academic degree in Computer Science, Computer Engineering or Information Systems.
Certifications in AWS or other relevant cloud technologies.
Company Occupation:
High Tech
Company Size:
Small (0 - 50)