EDH Data Architect

Location: USA and Canada, (remote, 10% travel required)
Date Posted: 05-25-2017
EDH Data Architect
USA and Canada (remote, 10%  travel required)

Is Data a passion for you instead of just a job? We are looking for a talented Data Architect with a passion for Data to join our dynamic and collaborative startup team working on the cutting-edge technologies of Machine Learning.

At BigR.io, our high-caliber Scientists and Engineers in Big Data and Machine Learning are revolutionizing the field of Artificial Intelligence (AI). Our expert Data Science team is led by MIT and Caltech PhDs specializing in Deep Neural Networks and other Machine Learning approaches. These capabilities place BigR.io at the forefront of technology and make us trusted advisors for both the Fortune 1000 and the next generation of industry leaders.

About You:
  • A track record of proven enterprise-level leadership
  • 15+ years overall experience with significant work in enterprise software architecture across the application, information, security, and platform architecture domains
  • Strong background building and delivering multi-threaded, scalable, and distributed systems
  • Experience with cloud and microservices architectures
  • Hands-on knowledge of  the data analytics problem space including both advanced analytics and traditional business intelligence
  • MA or PhD in Computer Science or equivalent experience

  • Drive product architectures for operational performance and unlimited scalability
  • Set standards for product design, quality, performance, ease-of-use, and administration
  • Implement key product capabilities and integrate with adjacent products like Apache Spark, managed AWS analytics solutions, and TensorFlow for analytic and real-time insights
Beneficial Experience:
  • Hands-on development using Java, Scala, Python, and other relevant languages and ecosystems
  • Experience with relevant technologies including NoSQL variants, cloud platforms, data transformation pipelines, and Machine Learning libraries 
  • In-depth understanding of real-time processing using technologies such as Hadoop and Spark
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