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Sr. Data Architect

Company Name: Five9
Location: San Ramon, CA
Date Posted: 30th Sep, 2016
Description:
  • Design and develop a data platform that fits the transactional and reporting needs of the Organization.
  • Understand and analyze business data requirements and architect an accurate, extensible, flexible and logical data model.
  • Rapidly prototype and prove the solutions using relational and OLAP databases.
  • Understand and maintain existing schema with industry standard change management process to achieve zero down time schema upgrade.
  • Set up the data modelling tenants and review the proposed data modelling changes against the same.
  • Develop and keep current, a high-level data strategy that fits with the Data Warehouse Standards and the overall strategy of the Company.
  • Design and build world class high-volume real-time data ingestion frameworks and automate various data sources into Bigdata technologies like Hadoop etc.
  • Identify and predict technology needs related to data and reporting for the organization, and propose technology solutions.
  • Ability to identify and resolve any performance and/or data related issues in production.
  • Communicate and collaborate effectively and work closely within a coordinated team environment and maintain composure while dealing with time sensitive deadlines or challenging people.
Qualification:
  • 10+ years of overall Software engineering experience.
  • Highly experienced in Data modelling, architecture and metadata management.
  • Expert level skill in modelling, managing, scaling and performance tuning high volume transactional database.
  • Experience developing a distributed data processing platform with Big Data technologies.
  • Experience with commercial ETL platforms.
  • Experience working with, processing and managing large data sets (multi TB scale).
  • Capable of delivering on multiple competing priorities with little supervision.
  • Excellent verbal and written communication skills.
  • Bachelor's Degree in computer science or equivalent experience.