Our client provides an affordable on-demand sales compensation solution allowing companies to improve their business performance through the use of more effective sales compensation programs. They enable companies to design, implement, manage, audit and communicate sales compensation programs. By providing more effective plans and better visibility, these companies can dramatically improve sales performance.


With clients that include Akamai, Blackboard, Concur, DHL, DemandTec, eHealth.com, Genius, Informatica, John Hancock, Lexis-Nexis, Linkedin, Motorola, NBC, NTT, Opsource, Paypal, RiverBed, Salesforce.com, Siemens, SuccessFactors, Taleo, Tibco, Walgreen, Workday, Yamaha and Zuora to name a few their solution is being implemented over a vast variety of companies.

Job Description

As a key member of the product team, you will lead the design, implementation and evolution to the next generation analytics architecture in support of the SaaS platform.

You'll bring to the role a passion for building flexible, extensible, highly scalable, robust, and high performance data systems. You must be driven, with an entrepreneurial spirit. The ideal

candidate will be proficient and proven in the design and implementation of a scalable multitenant data analytics architecture and the selection and use of a mix of leading, industry

standard, and emerging technologies. You have a track record of applying the right technology to the problem including thinking and implementing outside the RDBMS-paradigm. You will bring your battle proven experience in analytics and data architecture of a SaaS, consumer destination site, or Ad targeting platform to the team.

Job Responsibilities

You will own and directly contribute to the design, implementation, evaluation, selection, and

support of analytic and data technologies. You will serve as the lead architect for our customer

facing reporting and analytics features and products.

Working in a dynamic environment, you will collaborate with product managers, peer software

engineers and architects, QA engineers, DBAs and data center operations engineers.

Job Experience

HIGHLY DESIRED EXPERIENCE IN ONE OR MORE OF THE FOLLOWING AREAS:

-Production experience with Map-reduce programming, Hadoop, and Hive

-Implementation experience with NoSQL databases such as Cassandra or MongoDB

-Familiarity with and use of HBase or Brisk (DataStax Enterprise)

-Familiarity with Python and other server side development

-Previous experience working with large data sets to create near real-time analytics

-Familiarity and experience with agile development process

-Experience in both small and large companies

Required Experience

- At least 6 years commercial experience as a hands-on contributing analytics architect, data

architect, or database architect

-Implementation experience building multi-tenant reporting, data warehousing, and analytics

that is a key part of the product and customer experience

-Solid application, OLTP, and OLAP data modeling experience and expert in OLAP

-Very strong SQL skills and experience in an Oracle environment

-Proficient in server side Java development in a Linux based service oriented architecture

-Strong knowledge of all traditional Data Warehouse-related components (Sourcing, ETL, Data Modeling, Infrastructure, BI, Reporting) and multiple tools to support those components.

-Familiarity with non-relational technologies such as NoSQL and Map-reduce

-Team player with excellent communication and organizational skills

-Self-starter that is results focused with the ability to work independently and in teams

-Ability to balance tactical delivery with strategic vision to advance towards business-driven,

time-critical objectives.

-Proven track record of producing high quality software against plans and schedules that are

being met consistently

Required Education

BS/MS in Computer Scince or relevant technical field