? 10+ years of experience in Technology with at least 2+ years of experience as a Data / DW Architect or Data Manager
? 5+ years of managing development and data operations resources
? 5+ years with ETL technologies such as Talend or IBM Datastage or Informatica; Talend experience is an added advantage
? 4+ years developing solutions using relational databases or NoSQL databases such as Oracle, MySQL or SQL Server for OLTP purposes or MongoDB
? Experience managing DevOps resources would be a big plus
? You come from a strong background in relational databases and traditional data warehousing solutions, yet keep up with the recent evolution in NoSQL and BigData
? Experience and exposure to Cloud platforms such as AWS and SalesForce is a big plus
? Experience and exposure to NoSQL technologies such as CouchDB or MongoDB
? Demonstrated experience with?creating and maintaining end to end data architectures including?conceptual, logical, and physical data modeling?
? Experience contributing to the development of service-oriented (SOA) architecture and EAI technologies
? Outstanding verbal, written, presentation, facilitation, and business/IT partner interaction skills.? In particular, a demonstrated ability to effectively communicate technical and business issues and solutions to multiple organizational levels internally and externally
? Define and execute the architectural vision, roadmap and cost on how best to leverage our data assets to enable the success of our business
? Leading the on-going design and implementation of high quality conceptual, logical and physical data models?working closely with technical and product teams in an Agile (SCRUM) environment.
? Directly Manage and mentor a data team of Data/ETL developers, Data Operations and QA for data team
? Directly Manage and be responsible for the entire AWS infrastructure as well as DevOps resources
? Responsible for the data quality of critical data entities across all product repositories as well as Data Warehouse/BigData implementation
? Ensuring that both the physical data model and database technology?can support growth in data volumes
? Develop and maintain documentation of the data architecture, data flows, data models, and naming standards
? Work with the business leaders to?understand business requirements and help them understand how technology?tradeoffs influence strategy.?
? Collaborate across business and technology organization, providing sound analysis and recommendations