Data modeling, administration, configuration management, monitoring, debugging, and performance tuning.

• Handling structured, semi- structured and un-structured datasets
• Develop a practical roadmap for an enterprise-wide BI reporting and analytics platform
• Define the overall BI data architecture, including ETL processes, data marts and data lakes
• Help program and project managers in the design, planning and governance of implementing projects
• Perform detailed analysis of business problems and technical environments and use this in designing the solution
• Benchmark systems, analyze system bottlenecks and propose solutions to eliminate them

Skills and Abilities

Role of a big data solutions architect is a very technical one, but the successful candidate should also have some other skills that are important in designing the right architecture for the right need:

• Ability to hire and build a strong data pipe line team
• Experience with at least one of the large cloud-computing infrastructure solutions like Azure or Amazon Web Services
• Experience with the major big data solutions like Hadoop, Spark, MapReduce, Pig, Hive, HBase, MongoDB, Cassandra or similar NoSQL data stores (exposure to Hadoop distribution like Hortonworks, Cloudera will be a big plus)
• Thorough understanding of major programming/scripting languages like C#, Java, etc., as well as has experience in working with ETL tools such as Talend, Informatic, and/or Pentaho
• Demonstrable experience in data collection, cleansing and predictive modeling environment, has real world experience in deploying models to production
• Strong grasp of data pipeline, difference between batch and real-time data processing and familiarity with Lambda Architecture’s batch, speed and servicing layers
• Ability to clearly articulate pros and cons of various technologies and platforms
• Ability to document use cases, solutions and recommendations
• Adept at working creatively and analytically in a problem-solving environment
• Ability to work in a fast-paced agile development environment, both as a self-driven individual and as part of a cross-functional team
• Excellent written and verbal communication skills, including ability to explain work in plain language

Requirements

• Bachelor’s degree in Computer Science or related field AND eight (8) years of experience in the area(s) of data architecture or database management, OR any equivalent combination of education and experience
• Denver-based; this is not a remote position