Ability for Architectures to be on the Cloud (AWS preferred) Data Lake Architecture – understanding and proposing improvements Understanding of Unstructured/Structured Ability to understand data management Experience with large amount of data (various sized projects data wise) AWS background (helps them speak the local language better, but not necessarily essential – more valuable for app architecture)/ Knowledgeable 10+ years of Architecture experience – experience working outside of dev’l team, but having to influence them Bachelor’s Degree in Computer Science/Mathematics or relevant field Understanding of trends and emerging tech –> having a good pulse of this to implement into ecosystem Essential Job Functions:
Work with engineering teams to design and deliver first class data solutions using existing and emerging technologies
Promote awareness and build expertise in current and emerging data technologies, architecture and patterns
Help lead design and architecture discussions
Collaborate with engineering teams on key technology choices and implementation
Stay on top of relevant technology trends, experiment, and support engineering team innovation
Education/Experience Requirements:
Proven track record guiding platform architecture and technology best practices in areas such as:
Big Data Processing (Spark, Hadoop, etc)
Data Management
Big Data Storage (S3, HDFS, etc)
Data Integration
Performance Optimization and Scaling
Strong communication skills to be able to communicate effectively with engineering teams, senior management, and partners
Demonstrated experience gaining trust and confidence at all levels of the organization
Strong interpersonal skills including mentoring, coaching, and collaboration
Strong understanding of development processes and agile methodologies
Required Experience:
AWS cloud
10+ years of experience in Data Architecture
4+ years of experience in Big Data Architecture
3+ years of experience on AWS
BS in computer science, or other related disciplin
