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Senior Data Architect

Stem, Inc


Millbrae, CA

Categories:
Energy
Information Technology

Skill Level: Senior Level

Position Type: Full Time

~ Stem, Inc. is the leading smart energy storage solution for commercial and industrial customers. Our automated energy storage device requires no change in customer behavior and delivers the fastest payback available thanks to three value streams: direct savings on electricity bills, energy optimization software, and a smart grid dividend. Most importantly, Stem systems are enabling a cleaner electricity grid by reducing demand volatility and allowing for the increased penetration of renewables such as wind and solar power. ~

Position Overview 

Stem is looking for a mission driven Senior Data Architect to join our Platform Development organization. The ideal candidate not only has significant experience in building scalable data platforms that enable business intelligence, analytics and data products, but has a proven track record of developing and deploying algorithms on those platforms to solve complex problems.

As a senior member of the team, the candidate will also be expected to demonstrate leadership by helping mentor junior members. 

Responsibilities 

  • Work on forecasting, optimization and machine learning algorithms to improve Stem's Demand Response and Demand Management products
  • Help design, develop and implement a resilient and performant distributed data processing platform using open source Big Data Technologies
  • Collaborate with product managers, data scientists and other engineers to define requirements, design and implement solutions
  • Mentor junior members of the Data Science and technology teams regarding best practices 

Qualifications   

Required Skills  

  • Experience working with AWS technologies like EC2, S3, EMR, Redshift, etc.
  • Experience with Scrum/Agile development methodologies
  • Experience in the Renewable Energy Sector
  • Experience supporting internal reporting/business intelligence tools such as Tableau, Microstrategy, Qlik, BIRT, Jasper, Pentaho, KNIME, etc.
  • Demonstrated ability to support complex modeling and representation of real-world assets and dynamic relationships

Required Experience 

  • Masters or Ph.D in Computer Science, Statistics, Engineering, Physics, Applied Math or Statistics with a focus on large scale data analysis
  • 5+ years of hands-on experience working with software development and enterprise data warehouse solutions.
  • 5+ years of combined experience programming in Python, C/C++
  • Experience working in the Unix/Linux environment
  • Hands-on experience developing a distributed data processing platform with Big Data technologies like Hadoop, Hive, Pig, Oozie, MapReduce, Spark, Shark, Storm, RabbitMQ, Flume, etc.
  • Experience with one or more relational and NOSQL data stores and distributed in-memory solutions such as MySQL, PostgreSQL, Cassandra, Hbase, Druid, Redis, etc.
  • Experience in data lifecycle management including streaming ingestion, data quality validation, audit support, archive and purge processes
  • Experience with test driven development
  • Capable of delivering on multiple competing priorities with little supervision.
  • Excellent verbal and written communication skills. Demonstrated ability to tell a persuasive story with data and visualization 
To Apply 
 
  • Please click below: "Apply Now Online!" to email your resume and a cover letter.
  • Be sure to indicate: "Senior Data Architect, Tracking Code 147-109".

When you apply for this position, please say you saw this job on Green Dream Jobs!!

Contact Information:
http://www.stem.com/

 
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